Triple

T5148702
Position Surface form Disambiguated ID Type / Status
Subject Red Dog E116137 entity
Predicate cinematographyBy P1953 FINISHED
Object Geoff Hall
Geoff Hall is a cinematographer known for his work on the Australian film "Red Dog."
 E498676 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: Geoff Hall | Statement: [Red Dog, cinematographyBy, Geoff Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geoff Hall
Context triple: [Red Dog, cinematographyBy, Geoff Hall]
  • A. Geoff Collins
    Geoff Collins is an American football coach best known for his head coaching stints at Temple University and Georgia Tech, as well as his defensive coaching roles at several major college programs.
  • B. Geoff Travis
    Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
  • C. Geoff Britton
    Geoff Britton is an English rock drummer best known for his mid-1970s work with Paul McCartney’s band Wings.
  • D. Darren Morfitt
    Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
  • E. Geoff Zanelli
    Geoff Zanelli is an American composer best known for his work on film and television scores, often collaborating with major Hollywood productions and composers from the Remote Control Productions circle.
  • 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: Geoff Hall
Triple: [Red Dog, cinematographyBy, Geoff Hall]
Generated description
Geoff Hall is a cinematographer known for his work on the Australian film "Red Dog."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geoff Hall
Target entity description: Geoff Hall is a cinematographer known for his work on the Australian film "Red Dog."
  • A. Geoff Collins
    Geoff Collins is an American football coach best known for his head coaching stints at Temple University and Georgia Tech, as well as his defensive coaching roles at several major college programs.
  • B. Geoff Travis
    Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
  • C. Geoff Britton
    Geoff Britton is an English rock drummer best known for his mid-1970s work with Paul McCartney’s band Wings.
  • D. Darren Morfitt
    Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
  • E. Geoff Zanelli
    Geoff Zanelli is an American composer best known for his work on film and television scores, often collaborating with major Hollywood productions and composers from the Remote Control Productions circle.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78b17028819080568715df8c13eb completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfff6e8c8190883fc981fca95f48 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed3fd1d0081908d7fcaccd6e337ee completed March 21, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69bed4817390819090d48b0784c78ca3 completed March 21, 2026, 5:25 p.m.
Created at: March 20, 2026, 1:43 p.m.