Triple

T21952147
Position Surface form Disambiguated ID Type / Status
Subject The Electric Horseman E542094 entity
Predicate screenwriter P2831 FINISHED
Object Paul Gaer
Paul Gaer was a screenwriter best known for his work on the 1979 film "The Electric Horseman."
 E1510553 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: Paul Gaer | Statement: [The Electric Horseman, screenwriter, Paul Gaer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Gaer
Context triple: [The Electric Horseman, screenwriter, Paul Gaer]
  • A. Paul Graetz
    Paul Graetz was a French film producer active in the mid-20th century, known for backing a range of notable European films.
  • B. Paul Gout
    Paul Gout was a French architect and restorer known for his work on medieval monuments and historic structures in France.
  • C. Paul Vischer
    Paul Vischer was a member of the notable Vischer family of German sculptors active during the Renaissance period.
  • D. Charles Egeler
    Charles Egeler was an American prison warden and corrections official in Michigan, best known for his leadership at the State Prison of Southern Michigan.
  • E. Paul Gorup
    Paul Gorup is an American technology entrepreneur best known as a co-founder of the healthcare IT company Cerner Corporation.
  • 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: Paul Gaer
Triple: [The Electric Horseman, screenwriter, Paul Gaer]
Generated description
Paul Gaer was a screenwriter best known for his work on the 1979 film "The Electric Horseman."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Gaer
Target entity description: Paul Gaer was a screenwriter best known for his work on the 1979 film "The Electric Horseman."
  • A. Paul Graetz
    Paul Graetz was a French film producer active in the mid-20th century, known for backing a range of notable European films.
  • B. Paul Gout
    Paul Gout was a French architect and restorer known for his work on medieval monuments and historic structures in France.
  • C. Paul Vischer
    Paul Vischer was a member of the notable Vischer family of German sculptors active during the Renaissance period.
  • D. Charles Egeler
    Charles Egeler was an American prison warden and corrections official in Michigan, best known for his leadership at the State Prison of Southern Michigan.
  • E. Paul Gorup
    Paul Gorup is an American technology entrepreneur best known as a co-founder of the healthcare IT company Cerner Corporation.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243c84d4819097f5a93b128f024b completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a67042a648190b914e82576e0e6cf completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67d2d0e48190ae4acdc2de1371e7 completed May 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a68846fb88190bbe1510608aa9468 completed May 18, 2026, 1:16 a.m.
Created at: April 16, 2026, 7:58 p.m.