Triple

T19868206
Position Surface form Disambiguated ID Type / Status
Subject Legally Blonde E477445 entity
Predicate producer P490 FINISHED
Object Marc Platt 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: Marc Platt | Statement: [Legally Blonde, producer, Marc Platt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Platt
Context triple: [Legally Blonde, producer, Marc Platt]
  • A. Marc Platt chosen
    Marc Platt is an American film and theater producer known for major projects such as "La La Land," "Wicked," and "Bridge of Spies."
  • B. Marc Platt
    Marc Platt was an American dancer and actor best known as a member of the Ballet Russe de Monte Carlo and for his roles in classic Hollywood musicals of the 1940s and 1950s.
  • C. Mike Kellerman
    Mike Kellerman is a fictional Baltimore homicide detective known for his morally complex investigations and personal struggles on the television series "Homicide: Life on the Street."
  • D. Greg Medavoy
    Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
  • E. Greg Plageman
    Greg Plageman is an American television writer and producer best known for his work on series like "Person of Interest" and other high-concept genre dramas.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658a168288190a2fbb735d1fd30a8 completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.