Triple

T8999703
Position Surface form Disambiguated ID Type / Status
Subject Marked Woman E215010 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: [Marked Woman, starring, Allen Jenkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen Jenkins
Context triple: [Marked Woman, 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. Brian Jenkins
    Brian Jenkins is a name shared by several notable individuals, including American football coaches and a prominent terrorism and security expert.
  • D. Andrew Jenkins
    Andrew Jenkins is a British businessman best known for his long-serving leadership role as chairman of Carlisle United Football Club.
  • E. Jeff Jenkins
    Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68e3b1f48190bbeafbce363fff53 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d110090f208190bf0338a37bb28e8b completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:05 p.m.