Triple

T12551810
Position Surface form Disambiguated ID Type / Status
Subject Grease 2 E300114 entity
Predicate stars P1956 FINISHED
Object Tab Hunter E224515 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: Tab Hunter | Statement: [Grease 2, stars, Tab Hunter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tab Hunter
Context triple: [Grease 2, stars, Tab Hunter]
  • A. Tab Hunter chosen
    Tab Hunter was an American film and television actor and teen idol of the 1950s and 1960s, known for his boy-next-door charm and roles in romantic comedies and dramas.
  • B. Trevor Jackson
    Trevor Jackson is an American actor, singer, and songwriter known for his roles in television dramas and films as well as his R&B music career.
  • C. Eriq La Salle
    Eriq La Salle is an American actor, director, and producer best known for his role as Dr. Peter Benton on the television series "ER."
  • D. Corey Feldman
    Corey Feldman is an American actor and former child star best known for his roles in 1980s films such as "The Goonies," "Stand by Me," and "The Lost Boys."
  • E. Jason Marsden
    Jason Marsden is an American actor and prolific voice actor known for his work in numerous animated series, films, and video games.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9548444d081908f00cea1ce7032c7 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655853ecc8190b178a489d806a0c4 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:58 p.m.