Triple

T20141092
Position Surface form Disambiguated ID Type / Status
Subject Things Heard & Seen E491165 entity
Predicate director P255 FINISHED
Object Robert Pulcini 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: Robert Pulcini | Statement: [Things Heard & Seen, director, Robert Pulcini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Pulcini
Context triple: [Things Heard & Seen, director, Robert Pulcini]
  • A. Robert Pulcini chosen
    Robert Pulcini is an American filmmaker and screenwriter best known for co-writing and co-directing acclaimed independent films such as "American Splendor" alongside his creative partner and wife, Shari Springer Berman.
  • B. Robert Palumbo
    Robert Palumbo is a television producer best known for serving as an executive producer on the science fiction series "Mars."
  • C. Richard Ruccolo
    Richard Ruccolo is an American actor best known for his role as Pete Dunville on the sitcom "Two Guys, a Girl and a Pizza Place."
  • D. Carl Pingitore
    Carl Pingitore was a film editor best known for his work on major Hollywood productions, including the iconic crime thriller "Dirty Harry."
  • E. Lou DeMattei
    Lou DeMattei is an American tax attorney best known as the longtime husband of acclaimed novelist Amy Tan.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679b179c8190a9511df8ed82098a completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.