Triple

T16274322
Position Surface form Disambiguated ID Type / Status
Subject Christopher Doyle E395084 entity
Predicate notableWork P4 FINISHED
Object Hero E443072 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: Hero | Statement: [Christopher Doyle, notableWork, Hero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hero
Context triple: [Christopher Doyle, notableWork, Hero]
  • A. Hero
    Hero is a Finnish television channel known for broadcasting action-packed movies and series, operated alongside Nelonen as part of the same network family.
  • B. Hero
    Hero is the gentle, wronged young noblewoman in Shakespeare’s *Much Ado About Nothing*, whose romance and public humiliation drive much of the play’s dramatic tension.
  • C. Hero
    "Hero" is a popular Afro-dancehall song by Ghanaian artist Stonebwoy that showcases his inspirational lyrics and signature fusion of reggae, dancehall, and African rhythms.
  • D. Hero
    "Hero" is a contemporary gospel album by Kirk Franklin that blends choir-driven worship with R&B and hip-hop influences.
  • E. Hero chosen
    Hero is a visually striking 2002 Chinese wuxia film directed by Zhang Yimou, renowned for its stylized martial arts, color symbolism, and exploration of sacrifice and political unity.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460c2d948190813b66e539a64a70 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c0ef4c8190b44ac84f71b2ed41 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.