Triple

T20385114
Position Surface form Disambiguated ID Type / Status
Subject Almost Angels E497938 entity
Predicate mainCharacter P1183 FINISHED
Object Peter Schaefer
Peter Schaefer is the young protagonist of the 1962 Disney film "Almost Angels," which follows his experiences as a talented boy soprano in the Vienna Boys' Choir.
 E1452608 NE FINISHED

How this triple was built (4 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 Schaefer | Statement: [Almost Angels, mainCharacter, Peter Schaefer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Schaefer
Context triple: [Almost Angels, mainCharacter, Peter Schaefer]
  • A. Michael Schaefer
    Michael Schaefer is a film and television producer known for his executive production work on projects such as the series "Swarm."
  • B. John Hofer
    John Hofer is a musician best known as a member of the rock band Rogue Wave.
  • C. John Hefti
    John Hefti is a musician best known as a member of the American band The New Order.
  • D. Kurt Diemberger
    Kurt Diemberger is an Austrian mountaineer and filmmaker renowned as one of the few climbers to have made first ascents on two 8,000-meter peaks.
  • E. Paul Biegler
    Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peter Schaefer
Triple: [Almost Angels, mainCharacter, Peter Schaefer]
Generated description
Peter Schaefer is the young protagonist of the 1962 Disney film "Almost Angels," which follows his experiences as a talented boy soprano in the Vienna Boys' Choir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Schaefer
Target entity description: Peter Schaefer is the young protagonist of the 1962 Disney film "Almost Angels," which follows his experiences as a talented boy soprano in the Vienna Boys' Choir.
  • A. Michael Schaefer
    Michael Schaefer is a film and television producer known for his executive production work on projects such as the series "Swarm."
  • B. John Hofer
    John Hofer is a musician best known as a member of the rock band Rogue Wave.
  • C. John Hefti
    John Hefti is a musician best known as a member of the American band The New Order.
  • D. Kurt Diemberger
    Kurt Diemberger is an Austrian mountaineer and filmmaker renowned as one of the few climbers to have made first ascents on two 8,000-meter peaks.
  • E. Paul Biegler
    Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
  • F. None of above. chosen

Provenance (5 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790a31a4819099b2e6df2bafe547 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09005a39f081909521cf929d032df9 completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a09016ee480819085bfe8ab3ee79b88 completed May 16, 2026, 11:44 p.m.
NED2 Entity disambiguation (via description) batch_6a09024abbd081908d47b3f9f5d28561 completed May 16, 2026, 11:48 p.m.
Created at: April 16, 2026, 11:28 a.m.