Triple

T6953324
Position Surface form Disambiguated ID Type / Status
Subject Alien vs. Predator E161180 entity
Predicate screenwriter P2831 FINISHED
Object Ronald Shusett E439211 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: Ronald Shusett | Statement: [Alien vs. Predator, screenwriter, Ronald Shusett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald Shusett
Context triple: [Alien vs. Predator, screenwriter, Ronald Shusett]
  • A. Ronald Shusett chosen
    Ronald Shusett is an American screenwriter and producer best known for co-writing the original stories or scripts for influential science fiction films such as Alien and Total Recall.
  • B. Jack L. Murray
    Jack L. Murray is a film producer best known for his work on the 2009 horror remake "My Bloody Valentine 3D."
  • C. Robert L. Fish
    Robert L. Fish was an American mystery and crime fiction writer best known for his novels and short stories, including the work that inspired the film "Bullitt."
  • D. Kenneth Posner
    Kenneth Posner is a prominent American theatrical lighting designer known for his work on numerous Broadway productions.
  • E. Philip B. Heymann
    Philip B. Heymann was an American legal scholar and former high-ranking U.S. Justice Department official known for his work in criminal law, national security, and public service.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dab18d648190a2f238fce3e59365 completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7587ee1b08190b9f53ab7df4a4a58 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.