Triple

T15354816
Position Surface form Disambiguated ID Type / Status
Subject Music and Lyrics E367144 entity
Predicate producer P490 FINISHED
Object Martin Shafer E577298 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: Martin Shafer | Statement: [Music and Lyrics, producer, Martin Shafer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Shafer
Context triple: [Music and Lyrics, producer, Martin Shafer]
  • A. Martin Shafer chosen
    Martin Shafer is a film producer best known for his work on independent and arthouse movies, including collaborations with director Whit Stillman.
  • B. Ross Shafer
    Ross Shafer is an American comedian, television host, and motivational speaker best known for hosting the Seattle-based sketch comedy show "Almost Live!" and later the game show "Love Connection."
  • C. James Scheffer
    James Scheffer, better known as Jim Jonsin, is an American record producer and songwriter recognized for crafting hit tracks across hip hop and pop music.
  • D. Michael Vavitch
    Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
  • E. Richard Masur
    Richard Masur is an American character actor known for his extensive film and television work since the 1970s, including roles in movies like "Risky Business" and the miniseries "It."
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4544d5008190ba479a6c56cedc20 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:18 a.m.