Triple

T15289510
Position Surface form Disambiguated ID Type / Status
Subject F Is for Family E365489 entity
Predicate characterVoiced P13156 FINISHED
Object Maureen Murphy E1247298 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: Maureen Murphy | Statement: [F Is for Family, characterVoiced, Maureen Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maureen Murphy
Context triple: [F Is for Family, characterVoiced, Maureen Murphy]
  • A. Maureen Murphy chosen
    Maureen Murphy is a precocious and imaginative young girl who is one of the central members of the dysfunctional Murphy family in the animated comedy series "F Is for Family."
  • B. Colleen Murphy
    Colleen Murphy is a Canadian playwright, filmmaker, and librettist renowned for her powerful, emotionally intense stage works.
  • C. Maureen Monaghan
    Maureen Monaghan is the mother of English actor Dominic Monaghan, known for his roles in "The Lord of the Rings" film trilogy and the television series "Lost."
  • D. Maureen Callahan
    Maureen Callahan is an American journalist, author, and pop culture critic known for her work with publications like the New York Post and her commentary on celebrity and cultural trends.
  • E. Maureen Sweeney
    Maureen Sweeney is an Irish woman best known for her crucial World War II weather observations that influenced the timing of the D-Day landings.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec19c508190912c3fe186f8a992 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 3:15 a.m.