Triple

T9579126
Position Surface form Disambiguated ID Type / Status
Subject Emergence E231122 entity
Predicate executiveProducer P7225 FINISHED
Object Tara Butters E809598 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: Tara Butters | Statement: [Emergence, executiveProducer, Tara Butters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tara Butters
Context triple: [Emergence, executiveProducer, Tara Butters]
  • A. Tara Butters chosen
    Tara Butters is an American television writer and producer known for her work on genre series such as Marvel's Agent Carter and Kevin (Probably) Saves the World.
  • B. Tara Brooks
    Tara Brooks is a character in Marvel Comics best known as the human mother of the vampire hunter Blade.
  • C. Ashley Butler
    Ashley Butler is the sister of American actor Austin Butler, known for maintaining a relatively private life outside of her brother’s Hollywood career.
  • D. Emily Miles
    Emily Miles is a British civil servant who serves as the Chief Executive of the UK’s Food Standards Agency, overseeing food safety and public health regulation.
  • E. Tasha Davenport
    Tasha Davenport is a central character in the Disney XD series "Lab Rats," known as Leo's caring mother and Donald Davenport's wife who becomes involved with the bionic teens.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aece1081908287e03106de020f completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1821797f88190b427ad1fcfc73757 completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:05 p.m.