Triple

T19455687
Position Surface form Disambiguated ID Type / Status
Subject Damsel E486726 entity
Predicate producer P490 FINISHED
Object Joe Roth 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: Joe Roth | Statement: [Damsel, producer, Joe Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Roth
Context triple: [Damsel, producer, Joe Roth]
  • A. Joe Roth chosen
    Joe Roth is an American film producer and studio executive who became a prominent sports figure as the lead investor and former majority owner of Major League Soccer’s Seattle Sounders FC.
  • B. Matt Roth
    Matt Roth is an American actor known for his television work, including recurring roles on the sitcom "Roseanne."
  • C. Lee Tergesen
    Lee Tergesen is an American actor best known for his roles in the HBO series "Oz," the film "Wayne's World," and numerous television dramas and miniseries.
  • D. Stan Lathan
    Stan Lathan is an American television and film director and producer known for his influential work in comedy and urban-themed programming, including directing numerous specials for comedians like Dave Chappelle.
  • E. Steve Dorff
    Steve Dorff is an American songwriter and composer known for his prolific work in country and pop music, including numerous hits for major recording artists and film and television scores.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c2b1108190b492ca23487b91f8 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.