Triple

T23411708
Position Surface form Disambiguated ID Type / Status
Subject Jill Eikenberry E560084 entity
Predicate spouse P13 FINISHED
Object Michael Tucker 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: Michael Tucker | Statement: [Jill Eikenberry, spouse, Michael Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Tucker
Context triple: [Jill Eikenberry, spouse, Michael Tucker]
  • A. Michael Tucker
    Michael Tucker, better known by his stage name BloodPop, is an American musician and record producer recognized for his work on numerous pop hits.
  • B. Michael Tucker
    Michael Tucker is an American television writer known for his work on the sitcom "Sorry."
  • C. Michael Tucker chosen
    Michael Tucker is an American actor best known for his work in film, television, and theater, including roles in projects like the Woody Allen film "Radio Days" and the TV series "L.A. Law."
  • D. Duncan Tucker
    Duncan Tucker is an American film director and screenwriter best known for writing and directing the independent drama "Transamerica."
  • E. James Tucker
    James Tucker is an American animation producer, director, and artist best known for his work on DC Comics–based animated series and films, including major contributions to the DC Animated Universe.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a51183bc8190bd4860607b26b4b2 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:38 p.m.