Triple

T12809825
Position Surface form Disambiguated ID Type / Status
Subject Joe (1970 film) E306240 entity
Predicate featuresCharacter P626 FINISHED
Object Bill Compton E447629 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: Bill Compton | Statement: [Joe (1970 film), featuresCharacter, Bill Compton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Compton
Context triple: [Joe (1970 film), featuresCharacter, Bill Compton]
  • A. Bill Compton chosen
    Bill Compton is a centuries-old vampire and central protagonist in the television series "True Blood," known for his complex morality and romantic relationship with Sookie Stackhouse.
  • B. John Compton
    John Compton was a Saint Lucian statesman who led the country to independence and served multiple terms as its prime minister.
  • C. Patrick Compton
    Patrick Compton is an individual notable enough to be recognized as a prominent bearer of the surname Compton.
  • D. Hal Cumpston
    Hal Cumpston is an Australian actor best known for his role in the television series "The Walking Dead: World Beyond."
  • E. Glenn Plummer
    Glenn Plummer is an American actor known for his character roles in films and television, including appearances in movies like "Speed," "South Central," and "Things to Do in Denver When You're Dead."
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e817598819080fdd61e9d61236e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b95e4dc8190adc0bf9154971028 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:31 p.m.