Triple

T16589133
Position Surface form Disambiguated ID Type / Status
Subject David Dhawan E403035 entity
Predicate directed P7373 FINISHED
Object Hero No. 1 E904744 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 No. 1 | Statement: [David Dhawan, directed, Hero No. 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hero No. 1
Context triple: [David Dhawan, directed, Hero No. 1]
  • A. Hero No.1 chosen
    Hero No.1 is a 1997 Hindi romantic comedy film starring Govinda and Karisma Kapoor, directed by David Dhawan and known for its slapstick humor and popular music.
  • B. Death of a Superhero
    Death of a Superhero is a novel by Anthony McCarten that follows a terminally ill teenage boy and aspiring comic-book artist confronting mortality, identity, and love.
  • C. Los Héroes
    Los Héroes is a major Santiago Metro station and transfer hub in Chile’s capital city.
  • D. The Hero Next Door
    The Hero Next Door is a children's book by Sharon Robinson that explores themes of courage, community, and everyday acts of heroism.
  • E. The Heroes
    The Heroes is a standalone grimdark fantasy novel by Joe Abercrombie that depicts a brutal three-day battle through the shifting perspectives of soldiers, commanders, and cowards on both sides.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599f3d18819082b3e6eef5506731 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007599dcd4819089bbd0569b3d9a12 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.