Triple

T6814208
Position Surface form Disambiguated ID Type / Status
Subject Tommy Boy E156711 entity
Predicate starring P1507 FINISHED
Object Chris Farley E335615 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: Chris Farley | Statement: [Tommy Boy, starring, Chris Farley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Farley
Context triple: [Tommy Boy, starring, Chris Farley]
  • A. Chris Farley chosen
    Chris Farley was an American comedian and actor best known for his high-energy, physical comedy and memorable performances on Saturday Night Live and in films like Tommy Boy.
  • B. Phil Hartman
    Phil Hartman was a Canadian-American comedian, actor, and writer best known for his work on "Saturday Night Live" and the sitcom "NewsRadio."
  • C. Jim Belushi
    Jim Belushi is an American actor, comedian, and musician known for his roles in films like "About Last Night..." and the TV sitcom "According to Jim."
  • D. Dana Carvey
    Dana Carvey is an American comedian and actor best known for his work on Saturday Night Live and his role as Garth Algar in the film "Wayne's World."
  • E. David L. Lander
    David L. Lander was an American actor and comedian best known for playing the quirky character Andrew "Squiggy" Squiggman on the sitcom *Laverne & Shirley*.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32b012481909b73784899ec2a0d completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723da8fe08190b507e569a2511f5a completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.