Triple

T6126274
Position Surface form Disambiguated ID Type / Status
Subject Joy E136603 entity
Predicate editedBy P1954 FINISHED
Object Alan Baumgarten E250522 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: Alan Baumgarten | Statement: [Joy, editedBy, Alan Baumgarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Baumgarten
Context triple: [Joy, editedBy, Alan Baumgarten]
  • A. Alan Baumgarten chosen
    Alan Baumgarten is an American film editor known for his work on a variety of feature films and television projects.
  • B. Michael Greenberg
    Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
  • C. Steven Baigelman
    Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
  • D. Don Katz
    Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
  • E. David Baerwald
    David Baerwald is an American singer-songwriter and musician best known for his solo work, his role in the duo David & David, and his co-writing of Sheryl Crow’s hit “All I Wanna Do.”
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c28dbbc8190a0a0c20ec794e81a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769d6f40c8190a59df50d44c50cea completed March 28, 2026, 5:40 a.m.
Created at: March 22, 2026, 4:15 p.m.