Triple

T19734654
Position Surface form Disambiguated ID Type / Status
Subject Paul Kaye E473944 entity
Predicate workedOn P3 FINISHED
Object Pulling NE NERFINISHED

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: Pulling | Statement: [Paul Kaye, workedOn, Pulling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pulling
Context triple: [Paul Kaye, workedOn, Pulling]
  • A. Pulling chosen
    Pulling is a British television comedy series known for its darkly humorous portrayal of three single women navigating chaotic relationships and adulthood.
  • B. Puller
    Puller is a surname most prominently associated with the decorated U.S. Marine Corps officer Lewis B. "Chesty" Puller and his family.
  • C. Push and Pull
    "Push and Pull" is a funk and soul song by American singer Rufus Thomas, best known for its infectious groove and popularity in the early 1970s.
  • D. Pull It
    "Pull It" is a hip hop single by rapper Cam'ron from his debut studio album "Confessions of Fire."
  • E. Traction
    Traction is the common nickname for the Citroën Traction Avant, a pioneering French automobile famous for its early use of front-wheel drive and unitary body construction.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515d138c8190a4c4d112ed5756a3 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.