Triple

T5062535
Position Surface form Disambiguated ID Type / Status
Subject Mickey Rooney E114056 entity
Predicate spouse P13 FINISHED
Object Carolyn Hockett E114056 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: Carolyn Hockett | Statement: [Mickey Rooney, spouse, Carolyn Hockett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carolyn Hockett
Context triple: [Mickey Rooney, spouse, Carolyn Hockett]
  • A. Carolyn Hockett chosen
    Carolyn Hockett is known for being one of the later wives of American actor and entertainer Mickey Rooney.
  • B. Amy E. Duddleston
    Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
  • C. Patricia A. Carvell
    Patricia A. Carvell was the wife of legendary New York Yankees slugger Roger Maris, with whom she shared a long marriage and family life.
  • D. Judith A. McHale
    Judith A. McHale is an American lawyer, former Discovery Communications executive, and former U.S. Under Secretary of State for Public Diplomacy and Public Affairs.
  • E. Deborah Hopper
    Deborah Hopper is a film costume designer known for her work on projects such as the horror film "Changeling."
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7475be3c819085cde8ec544c407e completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf83324f0c81909de3afc6b4616bd5 completed March 22, 2026, 5:50 a.m.
Created at: March 20, 2026, 1:38 p.m.