Triple

T3621488
Position Surface form Disambiguated ID Type / Status
Subject Semi-Pro E76736 entity
Predicate starring P1507 FINISHED
Object David Koechner E372916 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: David Koechner | Statement: [Semi-Pro, starring, David Koechner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Koechner
Context triple: [Semi-Pro, starring, David Koechner]
  • A. David Koechner chosen
    David Koechner is an American character actor and comedian best known for his scene-stealing roles in films like Anchorman and the TV series The Office.
  • B. Rob Riggle
    Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
  • C. Will Murray
    Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
  • D. David Cross
    David Cross is an American comedian and actor known for his stand-up work, his role in the sketch series "Mr. Show," and his portrayal of Tobias Fünke in the television sitcom "Arrested Development."
  • E. Jeff Garlin
    Jeff Garlin is an American comedian and actor best known for his role as Jeff Greene on the HBO series "Curb Your Enthusiasm" and for his work in film and voice acting.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2b9aa608190a680b250ecf63156 completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4882d20fc819082c0b640cddce269 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:23 p.m.