Triple

T621903
Position Surface form Disambiguated ID Type / Status
Subject Bill Murray E14530 entity
Predicate hasChild P369 FINISHED
Object William Murray E92551 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: William Murray | Statement: [Bill Murray, hasChild, William Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Murray
Context triple: [Bill Murray, hasChild, William Murray]
  • A. Ronald N. Perlman
    Ronald N. Perlman is an American actor best known for his distinctive deep voice and leading roles in works such as the "Hellboy" films and the television series "Beauty and the Beast."
  • B. William James Murray chosen
    William James Murray is an American actor and comedian best known for his deadpan performances in films such as "Ghostbusters," "Groundhog Day," and "Lost in Translation."
  • C. Michael V. Drake
    Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
  • D. William McGann
    William McGann was an American cinematographer and film director active in early 20th-century Hollywood, known for his work on adventure and genre films.
  • E. Richard Channing
    Richard Channing is a central, power-driven antagonist-turned-antihero in the 1980s American prime-time soap opera "Falcon Crest," known for his ruthless business tactics and complex family entanglements.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e402d9c8190936896e3ebb6edc5 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a06c99881908c4f44b6bf91db1c completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:35 p.m.