Triple

T9969028
Position Surface form Disambiguated ID Type / Status
Subject Mad Max Beyond Thunderdome E195755 entity
Predicate screenwriter P2831 FINISHED
Object Terry Hayes E843051 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: Terry Hayes | Statement: [Mad Max Beyond Thunderdome, screenwriter, Terry Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Hayes
Context triple: [Mad Max Beyond Thunderdome, screenwriter, Terry Hayes]
  • A. Terry Hayes chosen
    Terry Hayes is an Australian screenwriter, producer, and novelist best known for co-writing the original Mad Max films and the thriller novel "I Am Pilgrim."
  • B. Terry Oakes
    Terry Oakes is a British fantasy and science fiction artist known for his vivid, detailed cover illustrations for novels and game books.
  • C. Terry Tumey
    Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
  • D. Terry Fisher
    Terry Fisher is a soccer coach best known for managing the Los Angeles Aztecs in the North American Soccer League.
  • E. Terry Molloy
    Terry Molloy is a British actor best known for playing the villainous Davros in the long-running science fiction series Doctor Who.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b683ac8190ac97bd775a860d29 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3000b21088190aa3ebb2ccbce9a6e completed April 6, 2026, 12:36 a.m.
Created at: March 30, 2026, 8:47 p.m.