Triple

T16633719
Position Surface form Disambiguated ID Type / Status
Subject Highlander E404143 entity
Predicate screenwriter P2831 FINISHED
Object Peter Bellwood E404143 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: Peter Bellwood | Statement: [Highlander, screenwriter, Peter Bellwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Bellwood
Context triple: [Highlander, screenwriter, Peter Bellwood]
  • A. Peter Bellwood chosen
    Peter Bellwood is a screenwriter best known for his work on the fantasy film "Highlander."
  • B. Murray Emeneau
    Murray Emeneau was an influential American linguist best known for his pioneering work in Dravidian linguistics and areal linguistics in South Asia.
  • C. Brian Fagan
    Brian Fagan is a British-born archaeologist and prolific author known for his popular books on ancient civilizations, climate history, and the human past.
  • D. Colin Renfrew
    Colin Renfrew is a prominent British archaeologist and prehistorian known for his influential work on the prehistory of the Aegean and for reshaping theories about the origins of European civilization.
  • E. Roger Blench
    Roger Blench is a British linguist, anthropologist, and Africanist known for his extensive fieldwork and research on under-documented languages and cultures, particularly in Africa.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e7d4a48190a9b4a14ecbb2a14b completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc05bd881909c6b2e0d95622aa1 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.