Triple
T15800590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New York Trilogy |
E383086
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Blue
Blue is a private detective and one of the central narrators in Paul Auster’s metafictional novel "Ghosts," part of *The New York Trilogy*.
|
E1176610
|
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: Blue | Statement: [The New York Trilogy, notableCharacter, Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Context triple: [The New York Trilogy, notableCharacter, Blue]
-
A.
Blue
Blue is a critically acclaimed 1971 folk album by Joni Mitchell, widely regarded as one of the greatest and most influential records in popular music history.
-
B.
Blue
Blue is the costumed blue owl that serves as the official mascot of Wellesley College.
-
C.
Blue
Blue is the internal codename Microsoft used during development of the Windows 8.1 operating system update.
-
D.
Blue
Blue is the intelligent Velociraptor from the Jurassic World film series who forms a close bond and cooperative partnership with dinosaur trainer Owen Grady.
-
E.
Blue
Blue is the official mascot of the Idaho Steelheads minor league ice hockey team, typically depicted as a playful, energetic character who entertains fans at games and events.
- 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: Blue Triple: [The New York Trilogy, notableCharacter, Blue]
Generated description
Blue is a private detective and one of the central narrators in Paul Auster’s metafictional novel "Ghosts," part of *The New York Trilogy*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue Target entity description: Blue is a private detective and one of the central narrators in Paul Auster’s metafictional novel "Ghosts," part of *The New York Trilogy*.
-
A.
Blue
Blue is the anonymous online love interest of protagonist Simon Spier in the young adult novel and film "Love, Simon."
-
B.
Blue
Blue is a 1993 French drama film directed by Krzysztof Kieślowski, known for its minimalist style, emotional depth, and as the first installment of his acclaimed Three Colors trilogy.
-
C.
Blue
Blue is the animated blue puppy who serves as the curious, clue-leaving title character of the children’s television series "Blue’s Clues."
-
D.
Blue
Blue is the nickname of American jazz trumpeter Blue Mitchell, known for his work in hard bop and soul jazz.
-
E.
Blue
Blue is Derek Jarman’s experimental 1993 film consisting solely of a blue screen accompanied by a layered soundscape of narration, music, and effects reflecting on his life, illness, and mortality.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e135b08190b736e77bac5e2bff |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90b2fd148190b3819d7c41505d52 |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff935867d08190955c2d665a761a5e |
completed | May 9, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff93fc19048190981d8e44ee5222f7 |
completed | May 9, 2026, 8:07 p.m. |
Created at: April 10, 2026, 4:48 a.m.