Triple

T5885665
Position Surface form Disambiguated ID Type / Status
Subject Marc Platt E130854 entity
Predicate name P16 FINISHED
Object Marc Platt E130854 NE FINISHED

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: [Marc Platt, name, Marc Platt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Platt
Context triple: [Marc Platt, name, 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. 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."
  • D. Martin Platt
    Martin Platt is a theatre director and producer best known as the founding artistic leader of the Alabama Shakespeare Festival, one of the largest Shakespeare festivals in the United States.
  • E. Gregg Palmer
    Gregg Palmer was an American character actor known for his rugged roles in Westerns and mid-20th-century Hollywood films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03678dd2c819095926f80f25696b0 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13ce8788190b07771180f0fa376 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.