Triple

T510815
Position Surface form Disambiguated ID Type / Status
Subject Ron Perlman E10602 entity
Predicate characterPortrayed P1507 FINISHED
Object Hannibal Chau E14119 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: Hannibal Chau | Statement: [Ron Perlman, characterPortrayed, Hannibal Chau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannibal Chau
Context triple: [Ron Perlman, characterPortrayed, Hannibal Chau]
  • A. Hannibal Chau chosen
    Hannibal Chau is a flamboyant black-market dealer in kaiju organs from the film "Pacific Rim," known for his eccentric style and shady charisma.
  • B. Hancock Lee
    Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
  • C. Nelson Chai
    Nelson Chai is a business executive and former Chief Financial Officer of Uber Technologies, known for his leadership roles in major financial and technology companies.
  • D. Kenneth Hsu
    Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
  • E. Tony Wu
    Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f165b91c81908c2d2ba15c64b956 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a49ebcf4408190bbbff6e86f42034f completed March 1, 2026, 8:17 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.