Triple

T7084017
Position Surface form Disambiguated ID Type / Status
Subject Jaws: The Revenge E165027 entity
Predicate stars P1956 FINISHED
Object Lance Guest E555389 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: Lance Guest | Statement: [Jaws: The Revenge, stars, Lance Guest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lance Guest
Context triple: [Jaws: The Revenge, stars, Lance Guest]
  • A. Lance Guest chosen
    Lance Guest is an American actor best known for starring in the science fiction film "The Last Starfighter" and appearing in movies such as "Halloween II."
  • B. Lance Sullivan
    Lance Sullivan is a central character in the romantic comedy-drama film series "The Best Man," known as a successful professional athlete whose personal relationships and moral choices drive much of the story’s emotional conflict.
  • C. Lance Johnson
    Lance Johnson is a film producer known for his work on the biographical comedy-drama "The Life and Death of Peter Sellers."
  • D. Lance LePere
    Lance LePere is an American fashion designer and longtime creative collaborator best known as the husband of designer Michael Kors.
  • E. Lance Stater
    Lance Stater is a central character in the British comedy series "Detectorists," portrayed as an earnest, somewhat melancholic metal-detecting enthusiast and best friend of Andy Stone.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5102be08190bbde790bfa8fe9e2 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8f11a48190a2a1f6ad99dc04b9 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:40 p.m.