Triple

T12782899
Position Surface form Disambiguated ID Type / Status
Subject Real Life E305550 entity
Predicate writer P1360 FINISHED
Object Harry Shearer E817558 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: Harry Shearer | Statement: [Real Life, writer, Harry Shearer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Shearer
Context triple: [Real Life, writer, Harry Shearer]
  • A. Harry Shearer chosen
    Harry Shearer is an American actor, comedian, writer, musician, and satirist best known for his extensive voice work on "The Simpsons" and his role in the mockumentary film "This Is Spinal Tap."
  • B. Chris Elliott
    Chris Elliott is an American actor and comedian known for his offbeat roles in film and television, including his supporting role in the comedy classic "Groundhog Day."
  • C. Phil Hartman
    Phil Hartman was a Canadian-American comedian, actor, and writer best known for his work on "Saturday Night Live" and the sitcom "NewsRadio."
  • D. Martin Short
    Martin Short is a Canadian-American comedian and actor renowned for his energetic characters and work on sketch comedy shows, films, and Broadway.
  • E. Will Murray
    Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5b52048190b279b7ad066efe9f completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ed774881909d2df630820e5f21 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 5:29 p.m.