Triple

T8803455
Position Surface form Disambiguated ID Type / Status
Subject Peter Tolan E209465 entity
Predicate workedOn P3 FINISHED
Object Murphy Brown E372600 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: Murphy Brown | Statement: [Peter Tolan, workedOn, Murphy Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murphy Brown
Context triple: [Peter Tolan, workedOn, Murphy Brown]
  • A. Murphy Brown chosen
    Murphy Brown is an American television sitcom character, a sharp-tongued investigative journalist and news anchor known for her wit, independence, and cultural impact in the late 1980s and 1990s.
  • B. Ally McBeal
    Ally McBeal is an American legal comedy-drama television series centered on the personal and professional life of a quirky young lawyer at a Boston law firm.
  • C. Maude
    Maude is a surname most notably associated with British Lieutenant General Sir Frederick Stanley Maude, a key military commander during World War I.
  • D. Maude
    Maude is a 1970s American sitcom created by Norman Lear that follows the outspoken, liberal Maude Findlay and is known for tackling controversial social and political issues with sharp humor.
  • E. Maude
    Maude is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbb5b108190a9f889d40aa20521 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f840d9c8190a88a61104969b0e5 completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:44 p.m.