Triple

T21481322
Position Surface form Disambiguated ID Type / Status
Subject Emily Montgomery E529999 entity
Predicate createdBy P806 FINISHED
Object Paul Rudnick 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: Paul Rudnick | Statement: [Emily Montgomery, createdBy, Paul Rudnick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Rudnick
Context triple: [Emily Montgomery, createdBy, Paul Rudnick]
  • A. Paul Rudnick chosen
    Paul Rudnick is an American playwright, novelist, and screenwriter known for his sharp wit and contributions to both stage and film comedies.
  • B. Adam Kantor
    Adam Kantor is an American stage actor and singer best known for his work in musical theatre, including roles in Broadway productions such as Rent and Fiddler on the Roof.
  • C. Ken Kaufman
    Ken Kaufman is an American screenwriter known for his work on major studio films, including the Western thriller "The Missing."
  • D. Michael Daves
    Michael Daves is an American bluegrass and roots musician known for his high-energy vocal style and collaborations with prominent artists such as mandolinist Chris Thile.
  • E. Josh Klausner
    Josh Klausner is an American screenwriter and filmmaker known for co-writing major studio comedies and animated features, including entries in the Shrek franchise.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea338f988190a3044f8d02a567fe completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:21 p.m.