Triple

T14943977
Position Surface form Disambiguated ID Type / Status
Subject Soldier Blue E372604 entity
Predicate starring P1507 FINISHED
Object Peter Strauss E520389 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: Peter Strauss | Statement: [Soldier Blue, starring, Peter Strauss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Strauss
Context triple: [Soldier Blue, starring, Peter Strauss]
  • A. Peter Strauss chosen
    Peter Strauss is an American actor best known for his work in television miniseries and films, including prominent roles in dramas throughout the 1970s and 1980s.
  • B. Bob Giraldi
    Bob Giraldi is an American film and music video director known for his influential work in the 1980s, including iconic videos for major artists like Michael Jackson and Lionel Richie.
  • C. Harvey Keitel
    Harvey Keitel is an American actor known for his intense, often morally complex roles in films by directors like Martin Scorsese and Quentin Tarantino, including classics such as "Mean Streets," "Taxi Driver," and "Reservoir Dogs."
  • D. Peter Simmons
    Peter Simmons is an actor known for his role in the film "Renaissance Man."
  • E. Eric S. Roberts
    Eric S. Roberts is a prominent computer scientist and educator known for his influential work in computer science pedagogy, curriculum development, and widely used textbooks.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5a8b3708190be7c35a05fd08a52 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:38 a.m.