Triple
T5711869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Gold |
E125927
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Counter Intelligence: Where to Eat in the Real Los Angeles
Counter Intelligence: Where to Eat in the Real Los Angeles is a celebrated restaurant guidebook that captures the diverse, often overlooked dining culture of Los Angeles through Jonathan Gold’s influential food writing.
|
E541640
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Counter Intelligence: Where to Eat in the Real Los Angeles | Statement: [Jonathan Gold, notableWork, Counter Intelligence: Where to Eat in the Real Los Angeles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Counter Intelligence: Where to Eat in the Real Los Angeles Context triple: [Jonathan Gold, notableWork, Counter Intelligence: Where to Eat in the Real Los Angeles]
-
A.
El Pueblo de Los Angeles
El Pueblo de Los Angeles is a historic district in downtown Los Angeles that preserves the city’s original settlement area, featuring landmark buildings, museums, and the popular Olvera Street marketplace.
-
B.
L.A.'s Finest
L.A.'s Finest is an action-comedy television series and Bad Boys spin-off that follows two LAPD detectives, played by Gabrielle Union and Jessica Alba, as they tackle crime in Los Angeles while juggling complicated personal lives.
-
C.
L.A. Takedown
L.A. Takedown is a 1989 television crime film directed by Michael Mann that served as the prototype for his later feature film Heat.
-
D.
Welcome to L.A.
"Welcome to L.A." is a 1976 ensemble drama film set in Los Angeles, known for its melancholic portrayal of intersecting personal relationships amid the city's music and entertainment scene.
-
E.
La Cantina de San Angel
La Cantina de San Angel is a quick-service Mexican restaurant located in the Mexico Pavilion at EPCOT in Walt Disney World.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Counter Intelligence: Where to Eat in the Real Los Angeles Triple: [Jonathan Gold, notableWork, Counter Intelligence: Where to Eat in the Real Los Angeles]
Generated description
Counter Intelligence: Where to Eat in the Real Los Angeles is a celebrated restaurant guidebook that captures the diverse, often overlooked dining culture of Los Angeles through Jonathan Gold’s influential food writing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Counter Intelligence: Where to Eat in the Real Los Angeles Target entity description: Counter Intelligence: Where to Eat in the Real Los Angeles is a celebrated restaurant guidebook that captures the diverse, often overlooked dining culture of Los Angeles through Jonathan Gold’s influential food writing.
-
A.
El Pueblo de Los Angeles
El Pueblo de Los Angeles is a historic district in downtown Los Angeles that preserves the city’s original settlement area, featuring landmark buildings, museums, and the popular Olvera Street marketplace.
-
B.
L.A.'s Finest
L.A.'s Finest is an action-comedy television series and Bad Boys spin-off that follows two LAPD detectives, played by Gabrielle Union and Jessica Alba, as they tackle crime in Los Angeles while juggling complicated personal lives.
-
C.
L.A. Takedown
L.A. Takedown is a 1989 television crime film directed by Michael Mann that served as the prototype for his later feature film Heat.
-
D.
Welcome to L.A.
"Welcome to L.A." is a 1976 ensemble drama film set in Los Angeles, known for its melancholic portrayal of intersecting personal relationships amid the city's music and entertainment scene.
-
E.
La Cantina de San Angel
La Cantina de San Angel is a quick-service Mexican restaurant located in the Mexico Pavilion at EPCOT in Walt Disney World.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024b386a08190bd2738d93861edc2 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a72181081909209a38c3ff7460b |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05cd2dea88190bc79ca0a7709e7ca |
completed | March 22, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d8c85f88190a1a962794eeecd8d |
completed | March 22, 2026, 9:22 p.m. |
Created at: March 22, 2026, 3:46 p.m.