Triple

T12139543
Position Surface form Disambiguated ID Type / Status
Subject Jim Taylor E289146 entity
Predicate spouse P13 FINISHED
Object Tamara Jenkins E926841 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: Tamara Jenkins | Statement: [Jim Taylor, spouse, Tamara Jenkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamara Jenkins
Context triple: [Jim Taylor, spouse, Tamara Jenkins]
  • A. Tamara Jenkins chosen
    Tamara Jenkins is an American filmmaker and screenwriter best known for her sharp, character-driven independent films such as "Slums of Beverly Hills" and "The Savages."
  • B. Nessa Jenkins
    Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
  • C. Tamara Brooks
    Tamara Brooks was an American choral conductor and music educator known for her work with prominent ensembles and contributions to contemporary classical music.
  • D. Tamara James
    Tamara James is an American politician and former professional basketball player who serves as the mayor of Dania Beach, Florida.
  • E. Shelley Jenkins
    Shelley Jenkins is best known as the wife of former England rugby union star Jonny Wilkinson.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce593bbc8190827ca217f43140b9 completed May 3, 2026, 10:38 p.m.
Created at: April 8, 2026, 9:49 p.m.