Triple

T18400915
Position Surface form Disambiguated ID Type / Status
Subject Jaws E449990 entity
Predicate employer P7 FINISHED
Object Hugo Drax 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: Hugo Drax | Statement: [Jaws, employer, Hugo Drax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo Drax
Context triple: [Jaws, employer, Hugo Drax]
  • A. Hugo Drax chosen
    Hugo Drax is the wealthy, megalomaniacal villain in the James Bond franchise who masterminds a genocidal space-based plot in the novel and film "Moonraker."
  • B. Dr. Han Fastolfe
    Dr. Han Fastolfe is a prominent roboticist and politician in Isaac Asimov's Robot series, renowned as a leading Spacer scientist and key architect of advanced humanoid robots.
  • C. Ben Decter
    Ben Decter is a television and film composer known for scoring series such as the action-comedy drama "Lethal Weapon."
  • D. Galvan Prime
    Galvan Prime is the technologically advanced homeworld of the highly intelligent Galvan species in the Ben 10 universe.
  • E. Maxwell Lord
    Maxwell Lord is a powerful and morally ambiguous DC Comics businessman and manipulator often associated with the Justice League and Wonder Woman.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5194f2a8c8190afcd7db23e3795fb completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:46 a.m.