Triple

T9795663
Position Surface form Disambiguated ID Type / Status
Subject The Grave E237710 entity
Predicate teleplayBy P15305 FINISHED
Object Montgomery Pittman E822357 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: Montgomery Pittman | Statement: [The Grave, teleplayBy, Montgomery Pittman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgomery Pittman
Context triple: [The Grave, teleplayBy, Montgomery Pittman]
  • A. Montgomery Pittman chosen
    Montgomery Pittman was an American television writer, director, and occasional actor best known for his work on series like "The Twilight Zone" and various Warner Bros. TV westerns in the 1950s and 1960s.
  • B. Milton Kibbee
    Milton Kibbee was an American character actor known for his numerous supporting roles in Hollywood films during the 1930s and 1940s.
  • C. Gust Brown
    Gust Brown is the surname of Anne Gust Brown, an American businesswoman and former First Lady of California married to former Governor Jerry Brown.
  • D. Jim Barnes
    Jim Barnes was an early 20th-century professional golfer known as one of the sport’s pioneering major champions.
  • E. Calbert Cheaney
    Calbert Cheaney is a former American college basketball star and NBA player best known as the all-time leading scorer in Big Ten Conference history from his standout career at Indiana University.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda34916dc8190acef2ba003e56a33 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc5118a481908a65d730f86c7723 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:28 p.m.