Triple

T7759460
Position Surface form Disambiguated ID Type / Status
Subject Rue McClanahan E175979 entity
Predicate hasChild P369 FINISHED
Object Mark Bish E633157 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: Mark Bish | Statement: [Rue McClanahan, hasChild, Mark Bish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Bish
Context triple: [Rue McClanahan, hasChild, Mark Bish]
  • A. Mark Bish chosen
    Mark Bish is the son of American actress Rue McClanahan, best known for her role as Blanche Devereaux on the television series "The Golden Girls."
  • B. John Bowers
    John Bowers is a prominent American engineer and physicist renowned for his pioneering contributions to photonics and optoelectronics, particularly in the development of high-speed and energy-efficient optical communication technologies.
  • C. Michael Sarnoski
    Michael Sarnoski is an American filmmaker and screenwriter best known for directing the acclaimed drama "Pig" and later helming the horror prequel "A Quiet Place: Day One."
  • D. Mark Benton
    Mark Benton is an English character actor known for his extensive work in British television drama and comedy, as well as stage and film roles.
  • E. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703de43d08190ac28bc17cd3e5ffa completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ef0b6bb88190b5f98897ccbc07a6 completed March 29, 2026, 9:21 a.m.
Created at: March 27, 2026, 4:09 p.m.