Triple

T7004375
Position Surface form Disambiguated ID Type / Status
Subject Paul Junger Witt E162414 entity
Predicate notableCollaboration P8554 FINISHED
Object Susan Harris E289200 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: Susan Harris | Statement: [Paul Junger Witt, notableCollaboration, Susan Harris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Harris
Context triple: [Paul Junger Witt, notableCollaboration, Susan Harris]
  • A. Susan Harris chosen
    Susan Harris is an American television writer and producer best known for creating the acclaimed sitcom "The Golden Girls."
  • B. Ann Hearn
    Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
  • C. Jennifer Howard
    Jennifer Howard was an American actress and the daughter of playwright Sidney Howard and actress Clare Eames, known for her work on stage and screen in the mid-20th century.
  • D. Susan Holbrook
    Susan Holbrook is a Canadian poet and writer known for her innovative, playful approach to language and experimental forms.
  • E. Ann Hines
    Ann Hines is known as the spouse of Lonnie Lynn, the late American basketball player and poet who was also the father of rapper and actor Common.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc14037c81908bb87250ef29be50 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd93fee4c88190a00a71c146067eef completed April 1, 2026, 9:54 p.m.
Created at: March 27, 2026, 2:33 p.m.