Triple

T20426850
Position Surface form Disambiguated ID Type / Status
Subject Ken Kwapis E501024 entity
Predicate name P16 FINISHED
Object Ken Kwapis NE NERFINISHED

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: Ken Kwapis | Statement: [Ken Kwapis, name, Ken Kwapis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Kwapis
Context triple: [Ken Kwapis, name, Ken Kwapis]
  • A. Ken Kwapis chosen
    Ken Kwapis is an American film and television director known for helming popular works such as "The Sisterhood of the Traveling Pants," "He's Just Not That Into You," and episodes of "The Office."
  • B. Jayden Kwapis
    Jayden Kwapis is a fictional character from the American television comedy series "Mr. Mayor."
  • C. Gregory Mottola
    Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
  • D. Paul Weitz
    Paul Weitz is an American filmmaker, screenwriter, and producer known for co-directing "American Pie" and directing films such as "About a Boy" and "In Good Company."
  • E. Michael Ritchie
    Michael Ritchie was an American film director known for his sharp, often satirical takes on American culture in movies such as "The Candidate," "Smile," and various sports comedies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba9700481909fa23493f98095d1 completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.