Triple

T15063969
Position Surface form Disambiguated ID Type / Status
Subject The Babysitter E379707 entity
Predicate musicBy P1952 FINISHED
Object Douglas Pipes E490417 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: Douglas Pipes | Statement: [The Babysitter, musicBy, Douglas Pipes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas Pipes
Context triple: [The Babysitter, musicBy, Douglas Pipes]
  • A. Douglas Pipes chosen
    Douglas Pipes is an American film composer best known for his atmospheric and genre-blending scores for movies such as the horror-comedy "Krampus" and the animated film "Monster House."
  • B. Douglas Dick
    Douglas Dick was an American actor known for his supporting roles in mid-20th-century films and television, including appearances in war dramas and suspense thrillers.
  • C. Paul Duguid
    Paul Duguid is a scholar of information studies and co-author of the influential book "The Social Life of Information" with John Seely Brown.
  • D. Douglas Pike
    Douglas Pike was a prominent American diplomat and scholar known for his influential analyses of the Viet Cong and the Vietnam War.
  • E. Douglas Guilfoyle
    Douglas Guilfoyle is an international law scholar known for his work on the law of the sea, maritime security, and international criminal law.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a61136081908198806944c81808 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:02 a.m.