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.