Triple
T16823621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenue George V |
E408958
|
entity |
| Predicate | hasRestaurant |
P4442
|
FINISHED |
| Object |
Le George
Le George is an upscale contemporary French-Mediterranean restaurant located in Paris’s prestigious Golden Triangle district.
|
E1235002
|
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: Le George | Statement: [Avenue George V, hasRestaurant, Le George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le George Context triple: [Avenue George V, hasRestaurant, Le George]
-
A.
Golden George
Golden George is the top prize awarded to the best film at the Moscow International Film Festival.
-
B.
George (mascot)
George (mascot) is the costumed representation of George Washington that serves as the official mascot for the George Washington University athletic teams.
-
C.
Rooster Bennett
Rooster Bennett is a fictional, hard-drinking, wisecracking ranch hand and brother to Colt Bennett on the Netflix sitcom "The Ranch."
-
D.
Georges
Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
-
E.
Lionel
Lionel is the given name of Baron Walter Rothschild, a prominent British banker, politician, and zoologist from the famous Rothschild family.
- 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: Le George Triple: [Avenue George V, hasRestaurant, Le George]
Generated description
Le George is an upscale contemporary French-Mediterranean restaurant located in Paris’s prestigious Golden Triangle district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Le George Target entity description: Le George is an upscale contemporary French-Mediterranean restaurant located in Paris’s prestigious Golden Triangle district.
-
A.
Golden George
Golden George is the top prize awarded to the best film at the Moscow International Film Festival.
-
B.
George (mascot)
George (mascot) is the costumed representation of George Washington that serves as the official mascot for the George Washington University athletic teams.
-
C.
Rooster Bennett
Rooster Bennett is a fictional, hard-drinking, wisecracking ranch hand and brother to Colt Bennett on the Netflix sitcom "The Ranch."
-
D.
Georges
Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
-
E.
Lionel
Lionel is the given name of Baron Walter Rothschild, a prominent British banker, politician, and zoologist from the famous Rothschild family.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e838e881908b650194c9b94886 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29c170c81908fcc88c31e266ffb |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b3cb7a2c8190a90ed07bc06dfc1b |
completed | May 10, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b466ecd08190b7b5ee54476631ab |
completed | May 10, 2026, 4:37 p.m. |
Created at: April 10, 2026, 5:23 a.m.