Triple
T18732871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYU Violets |
E458080
|
entity |
| Predicate | formerNickname |
P65
|
FINISHED |
| Object |
Violet
Violet is the former nickname associated with New York University’s athletic teams, historically reflecting the school’s signature color.
|
E1340523
|
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: Violet | Statement: [NYU Violets, formerNickname, Violet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Violet Context triple: [NYU Violets, formerNickname, Violet]
-
A.
Violet
Violet is a live-action short film recognized with the Academy Award for Best Live Action Short Film at the 54th Oscars.
-
B.
Violet
Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
-
C.
Violet
Violet is a character portrayed by Australian actress Robin McLeavy, likely known from her work in film or television.
-
D.
Violet
Violet is the given first name of the renowned American opera singer Leontyne Price.
-
E.
Violet
Violet is a gun-wielding, foul-mouthed assassin and one of the main supporting Neons in the fast-paced first-person action game Neon White.
- 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: Violet Triple: [NYU Violets, formerNickname, Violet]
Generated description
Violet is the former nickname associated with New York University’s athletic teams, historically reflecting the school’s signature color.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Violet Target entity description: Violet is the former nickname associated with New York University’s athletic teams, historically reflecting the school’s signature color.
-
A.
Violet
Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
-
B.
Violet
Violet is the given first name of the renowned American opera singer Leontyne Price.
-
C.
Violet
Violet is the shy, force-field-generating teenage superhero daughter from Pixar's "The Incredibles" films.
-
D.
Violet
Violet is the given name of Helen Violet Asquith, a British aristocrat and social figure of the early 20th century.
-
E.
Violet
Violet is a live-action short film recognized with the Academy Award for Best Live Action Short Film at the 54th Oscars.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d791ab88190b333503f9b1ad0c0 |
completed | April 20, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05325dbcc08190b289e2c7a6175509 |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a05344331fc81908d85322432c18ebe |
completed | May 14, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053548c4248190833a6e57de308c83 |
completed | May 14, 2026, 2:36 a.m. |
Created at: April 10, 2026, 11:51 a.m.