Triple

T21842668
Position Surface form Disambiguated ID Type / Status
Subject William Kong E539292 entity
Predicate notableWork P4 FINISHED
Object Fearless NE NERFINISHED

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: Fearless | Statement: [William Kong, notableWork, Fearless]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fearless
Context triple: [William Kong, notableWork, Fearless]
  • A. Fearless
    Fearless is Taylor Swift’s critically acclaimed second studio album that cemented her mainstream success with its blend of country and pop and hit singles like “Love Story” and “You Belong with Me.”
  • B. Fearless
    Fearless is a British television drama series starring Helen McCrory as a human rights lawyer investigating a potentially wrongful murder conviction.
  • C. Fearless
    Fearless is the 2008 debut studio album by American R&B singer Jazmine Sullivan, showcasing her powerful vocals and confessional songwriting.
  • D. Fearless chosen
    Fearless is a 1993 psychological drama film directed by Peter Weir that explores trauma and survivor’s guilt following a catastrophic plane crash.
  • E. Fearless
    "Fearless" is a song featured on Bryan Adams' 1998 rock album "On a Day Like Today."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ad76d48190a1905cfdbe866323 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.