Triple

T19455689
Position Surface form Disambiguated ID Type / Status
Subject Damsel E486726 entity
Predicate producer P490 FINISHED
Object Chris Castaldi 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: Chris Castaldi | Statement: [Damsel, producer, Chris Castaldi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Castaldi
Context triple: [Damsel, producer, Chris Castaldi]
  • A. Chris Castaldi chosen
    Chris Castaldi is a film producer known for working on major action and thriller projects, including high-profile studio releases.
  • B. Chris Sullo
    Chris Sullo is a security researcher and developer best known as the creator of the Nikto web server vulnerability scanner.
  • C. Kevin Demoff
    Kevin Demoff is an American sports executive best known for serving as the top front-office leader of the NFL’s Los Angeles Rams, overseeing the team’s business operations and strategic direction.
  • D. John Antonelli
    John Antonelli is known primarily as the husband of pioneering computer programmer Kathleen McNulty Mauchly, one of the original ENIAC programmers.
  • E. Christopher Scarabosio
    Christopher Scarabosio is a sound designer and voice actor known for his work on animated and science fiction films, including providing voices in "Titan A.E."
  • 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.