Triple

T13034529
Position Surface form Disambiguated ID Type / Status
Subject The Amazing Dr. Clitterhouse E326522 entity
Predicate starring P1507 FINISHED
Object Allen Jenkins E542256 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: Allen Jenkins | Statement: [The Amazing Dr. Clitterhouse, starring, Allen Jenkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen Jenkins
Context triple: [The Amazing Dr. Clitterhouse, starring, Allen Jenkins]
  • A. Allen Jenkins chosen
    Allen Jenkins was an American character actor known for his comic supporting roles in numerous Hollywood films of the 1930s and 1940s.
  • B. Ken Jenkins
    Ken Jenkins is an American actor best known for his role as the irascible hospital administrator Dr. Bob Kelso on the television series "Scrubs."
  • C. Chris Jenkins
    Chris Jenkins is a film producer known for his work on the 2009 horror movie "Home."
  • D. Brian Jenkins
    Brian Jenkins is a name shared by several notable individuals, including American football coaches and a prominent terrorism and security expert.
  • E. Andrew Jenkins
    Andrew Jenkins is a British businessman best known for his long-serving leadership role as chairman of Carlisle United Football Club.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97effca908190ab89fdb034e02680 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716baf00881909a1a11d36cdb8d42 completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 8:54 p.m.