Triple

T15800592
Position Surface form Disambiguated ID Type / Status
Subject The New York Trilogy E383086 entity
Predicate notableCharacter P1481 FINISHED
Object White E86909 NE FINISHED

How this triple was built (2 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: White | Statement: [The New York Trilogy, notableCharacter, White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White
Context triple: [The New York Trilogy, notableCharacter, White]
  • A. White chosen
    White is a common English surname borne by numerous notable individuals across politics, arts, sciences, and other fields.
  • B. White
    White is a small town in Bartow County, Georgia, known for its rural character and proximity to Cartersville in the northwestern part of the state.
  • C. White
    "White" is a 2019 non-fiction essay collection by Bret Easton Ellis in which he offers provocative cultural criticism and personal reflections on contemporary politics, media, and identity.
  • D. Blue
    Blue is the internal codename Microsoft used during development of the Windows 8.1 operating system update.
  • E. Blue
    Blue is the entry-level tier in Uber's driver rewards program, offering basic benefits and recognition for new or less frequent drivers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ff90a87e3c8190a1c5b13cbfdff54a completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.