Triple

T5742943
Position Surface form Disambiguated ID Type / Status
Subject Michael Green E126657 entity
Predicate workedOn P3 FINISHED
Object Heroes E260911 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: Heroes | Statement: [Michael Green, workedOn, Heroes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heroes
Context triple: [Michael Green, workedOn, Heroes]
  • A. Heroes
    Heroes is a non-fiction book by journalist John Pilger that critically examines political power, media complicity, and the individuals who resist oppression around the world.
  • B. Heroes chosen
    Heroes is an American science fiction television series that follows ordinary people who discover they have extraordinary superhuman abilities and become entangled in a larger, interconnected destiny.
  • C. Heroes
    "Heroes" is a rock cover of David Bowie's iconic anthem, performed by the supergroup Hollywood Vampires.
  • D. Hero
    Hero is a 2006 self-help book by Rhonda Byrne that expands on the ideas of "The Secret" by focusing on personal journeys toward achieving one's dreams and potential.
  • E. Hero
    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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025852a2c819080521e5b98c00bdc completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a16436588190943a0b81ea9429d9 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:48 p.m.