Triple

T8319662
Position Surface form Disambiguated ID Type / Status
Subject Horns (film) E194797 entity
Predicate editor P1954 FINISHED
Object Baxter
Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
 E725822 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: Baxter | Statement: [Horns (film), editor, Baxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baxter
Context triple: [Horns (film), editor, Baxter]
  • A. Baxter
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • B. Baxter
    Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • C. Baxter
    Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
  • D. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • E. Otis
    "Otis" is a hip-hop track by Jay-Z and Kanye West featuring a prominent Otis Redding sample, known for its celebratory tone and showcase of their lyrical chemistry.
  • 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: Baxter
Triple: [Horns (film), editor, Baxter]
Generated description
Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baxter
Target entity description: Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
  • A. Baxter
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • B. Baxter
    Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • C. Baxter
    Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
  • D. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • E. Otis
    "Otis" is a hip-hop track by Jay-Z and Kanye West featuring a prominent Otis Redding sample, known for its celebratory tone and showcase of their lyrical chemistry.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f6686a0819094abc2bfd2e500a5 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9596891c81909296050d0a8117ca completed April 1, 2026, 10 p.m.
NEDg Description generation batch_69cdab5f30b0819080136084d81774a9 completed April 1, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69cdb2d365e48190a766ca959ce56b19 completed April 2, 2026, 12:05 a.m.
Created at: March 30, 2026, 5:55 p.m.