Triple

T3659259
Position Surface form Disambiguated ID Type / Status
Subject Jabberwocky E77608 entity
Predicate cinematographer P1953 FINISHED
Object Terry Bedford
Terry Bedford was a British cinematographer best known for his work on Terry Gilliam’s 1977 fantasy film "Jabberwocky."
E378426 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: Terry Bedford | Statement: [Jabberwocky, cinematographer, Terry Bedford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Bedford
Context triple: [Jabberwocky, cinematographer, Terry Bedford]
  • A. Terry Tumey
    Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
  • B. Terry Fisher
    Terry Fisher is a soccer coach best known for managing the Los Angeles Aztecs in the North American Soccer League.
  • C. Gordon Heath
    Gordon Heath was an American actor, singer, and director known for his work on stage and in film, as well as for his influential career in Europe, particularly in France.
  • D. Terry Oakes
    Terry Oakes is a British fantasy and science fiction artist known for his vivid, detailed cover illustrations for novels and game books.
  • E. Terry Hartford
    Terry Hartford is a fictional character from the American prime-time television soap opera "Falcon Crest."
  • 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: Terry Bedford
Triple: [Jabberwocky, cinematographer, Terry Bedford]
Generated description
Terry Bedford was a British cinematographer best known for his work on Terry Gilliam’s 1977 fantasy film "Jabberwocky."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Terry Bedford
Target entity description: Terry Bedford was a British cinematographer best known for his work on Terry Gilliam’s 1977 fantasy film "Jabberwocky."
  • A. Terry Tumey
    Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
  • B. Terry Fisher
    Terry Fisher is a soccer coach best known for managing the Los Angeles Aztecs in the North American Soccer League.
  • C. Gordon Heath
    Gordon Heath was an American actor, singer, and director known for his work on stage and in film, as well as for his influential career in Europe, particularly in France.
  • D. Terry Oakes
    Terry Oakes is a British fantasy and science fiction artist known for his vivid, detailed cover illustrations for novels and game books.
  • E. Terry Hartford
    Terry Hartford is a fictional character from the American prime-time television soap opera "Falcon Crest."
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d5e5f881909c7c105827d41071 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48842b28881908c6a077cfaa8b092 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48e0d2cfc8190b55d8060cc092411 completed March 13, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_69b4b96e73fc8190aa11d1e1a06d5c25 completed March 14, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:25 p.m.