Triple
T2841368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mar Vista |
E62475
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Del Rey
Del Rey is a residential and commercial neighborhood on the Westside of Los Angeles known for its proximity to Marina del Rey and Culver City.
|
E304580
|
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: Del Rey | Statement: [Mar Vista, borderedBy, Del Rey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Del Rey Context triple: [Mar Vista, borderedBy, Del Rey]
-
A.
Del Rey Books
Del Rey Books is a prominent American publishing imprint best known for its science fiction and fantasy titles.
-
B.
Doubleday
Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
-
C.
Mulholland Books
Mulholland Books is a crime, mystery, and suspense-focused publishing imprint of Little, Brown and Company known for thriller and noir fiction.
-
D.
Faber
Faber is a surname most notably associated with Sandra Faber, an influential American astronomer and cosmologist.
-
E.
Faber
Faber is a retired English professor in Ray Bradbury’s dystopian novel "Fahrenheit 451" who secretly mentors the protagonist and represents the value of literature and critical thought in a censored society.
- 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: Del Rey Triple: [Mar Vista, borderedBy, Del Rey]
Generated description
Del Rey is a residential and commercial neighborhood on the Westside of Los Angeles known for its proximity to Marina del Rey and Culver City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Del Rey Target entity description: Del Rey is a residential and commercial neighborhood on the Westside of Los Angeles known for its proximity to Marina del Rey and Culver City.
-
A.
Del Rey Books
Del Rey Books is a prominent American publishing imprint best known for its science fiction and fantasy titles.
-
B.
Doubleday
Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
-
C.
Mulholland Books
Mulholland Books is a crime, mystery, and suspense-focused publishing imprint of Little, Brown and Company known for thriller and noir fiction.
-
D.
Faber
Faber is a surname most notably associated with Sandra Faber, an influential American astronomer and cosmologist.
-
E.
Faber
Faber is a retired English professor in Ray Bradbury’s dystopian novel "Fahrenheit 451" who secretly mentors the protagonist and represents the value of literature and critical thought in a censored society.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf16d0c08190bb8de4a4160b4414 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d22e588190b119e7d9f9c3873a |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afea1732b481909a8df01d80ca1bd4 |
completed | March 10, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b00eff94b481909a4cc08c8494870c |
completed | March 10, 2026, 12:30 p.m. |
Created at: March 6, 2026, 10:01 p.m.