Triple

T14513823
Position Surface form Disambiguated ID Type / Status
Subject Baelor E340465 entity
Predicate director P255 FINISHED
Object Alan Taylor E221283 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: Alan Taylor | Statement: [Baelor, director, Alan Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Taylor
Context triple: [Baelor, director, Alan Taylor]
  • A. Alan Taylor chosen
    Alan Taylor is an American film and television director known for his work on major projects such as "Game of Thrones," "Thor: The Dark World," and "Terminator Genisys."
  • B. Alan Taylor
    Alan Taylor is an American historian renowned for his influential works on early American history, for which he has twice won the Pulitzer Prize for History.
  • C. J. O. Taylor
    J. O. Taylor was a cinematographer active during early Hollywood who worked on the landmark 1933 monster film "King Kong."
  • D. Gordon S. Wood
    Gordon S. Wood is a prominent American historian renowned for his influential scholarship on the American Revolution and the early United States.
  • E. L. J. Burrows
    L. J. Burrows is a fictional character from the television series "Prison Break," known as the teenage son of Lincoln Burrows who becomes entangled in his father's criminal troubles.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6d82988190b6f957012bcc63d4 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da64db881909a4f88d18031cb0c completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.