Triple

T9610617
Position Surface form Disambiguated ID Type / Status
Subject Leslie Chow E232088 entity
Predicate associatedWith P37 FINISHED
Object Doug Billings E223071 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: Doug Billings | Statement: [Leslie Chow, associatedWith, Doug Billings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug Billings
Context triple: [Leslie Chow, associatedWith, Doug Billings]
  • A. Doug Billings chosen
    Doug Billings is a central character in the comedy film "The Hangover," known as the groom whose disappearance in Las Vegas drives the movie’s chaotic search plot.
  • B. Don Brautigam
    Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
  • C. Ben Cullum
    Ben Cullum is a British musician and producer best known for his work in jazz and pop and for collaborating closely with his brother, singer-pianist Jamie Cullum.
  • D. Don Saleski
    Don Saleski is a former NHL right winger best known for his gritty, physical play with the Philadelphia Flyers during their 1970s "Broad Street Bullies" era.
  • E. John Billingsley
    John Billingsley is an American actor best known for playing the Denobulan doctor Phlox on the television series Star Trek: Enterprise.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a85d4c881909ccab2e972d97e68 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179513f9081909bcd9a456c640ba3 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:08 p.m.