Triple

T17830548
Position Surface form Disambiguated ID Type / Status
Subject Marshall Barer E445241 entity
Predicate name P16 FINISHED
Object Marshall Barer 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: Marshall Barer | Statement: [Marshall Barer, name, Marshall Barer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marshall Barer
Context triple: [Marshall Barer, name, Marshall Barer]
  • A. Marshall Barer chosen
    Marshall Barer was an American lyricist best known for his witty and inventive work in musical theatre, particularly in mid-20th-century Broadway productions.
  • B. Barry Clark Barish
    Barry Clark Barish is an American experimental physicist and Nobel laureate renowned for his leadership in the Laser Interferometer Gravitational-Wave Observatory (LIGO) project that first detected gravitational waves.
  • C. Barry Josephson
    Barry Josephson is an American film and television producer known for his work on series such as "Bones" and various feature films.
  • D. Andrew Barrer
    Andrew Barrer is a screenwriter best known for co-writing the Marvel superhero film "Ant-Man and the Wasp."
  • E. Norman Barasch
    Norman Barasch was an American playwright and television writer best known for co-writing the stage play that became the basis for the film "Send Me No Flowers."
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48917c4d88190b919a4b75aed011c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.