Triple

T13602902
Position Surface form Disambiguated ID Type / Status
Subject Meet Joe Black E324987 entity
Predicate producer P490 FINISHED
Object Ronald L. Schwary E573313 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: Ronald L. Schwary | Statement: [Meet Joe Black, producer, Ronald L. Schwary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald L. Schwary
Context triple: [Meet Joe Black, producer, Ronald L. Schwary]
  • A. Ronald L. Schwary chosen
    Ronald L. Schwary was an American film producer best known for his Academy Award–winning work on "Ordinary People" and other major Hollywood films.
  • B. Lewis J. Rachmil
    Lewis J. Rachmil was an American film and television producer known for his work on popular movies such as "Footloose."
  • C. Gerald W. Schwartz
    Gerald W. Schwartz is a Canadian businessman and investor best known as the founder and longtime leader of private equity firm Onex Corporation.
  • D. Bernard J. Rothlein
    Bernard J. Rothlein is an American engineer and entrepreneur best known as one of the founders of the semiconductor company National Semiconductor.
  • E. Frank E. Seidman
    Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec19c508190912c3fe186f8a992 completed May 11, 2026, 1:20 a.m.
Created at: April 9, 2026, 9:49 p.m.