Triple

T8353934
Position Surface form Disambiguated ID Type / Status
Subject Coddington E196630 entity
Predicate hasNotableBearer P458 FINISHED
Object Peter Coddington
Peter Coddington is a person notable enough to be recognized as a bearer of the surname Coddington.
E729369 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 Coddington | Statement: [Coddington, hasNotableBearer, Peter Coddington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Coddington
Context triple: [Coddington, hasNotableBearer, Peter Coddington]
  • A. William Mathews
    William Mathews was a 19th-century British mountaineer notable for pioneering ascents in the Alps.
  • B. Douglas Wick
    Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
  • C. John McDonough
    John McDonough was an American football official best known for serving as the referee in Super Bowl IV.
  • D. Christopher Parsons
    Christopher Parsons was a British wildlife film producer and director renowned for his pioneering work on nature documentaries, particularly with the BBC Natural History Unit.
  • E. Gordon Jennings
    Gordon Jennings was an American special effects artist renowned for his pioneering visual effects work in mid-20th-century Hollywood science fiction and adventure films.
  • 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 Coddington
Triple: [Coddington, hasNotableBearer, Peter Coddington]
Generated description
Peter Coddington is a person notable enough to be recognized as a bearer of the surname Coddington.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter Coddington
Target entity description: Peter Coddington is a person notable enough to be recognized as a bearer of the surname Coddington.
  • A. William Mathews
    William Mathews was a 19th-century British mountaineer notable for pioneering ascents in the Alps.
  • B. Douglas Wick
    Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
  • C. John McDonough
    John McDonough was an American football official best known for serving as the referee in Super Bowl IV.
  • D. Christopher Parsons
    Christopher Parsons was a British wildlife film producer and director renowned for his pioneering work on nature documentaries, particularly with the BBC Natural History Unit.
  • E. Gordon Jennings
    Gordon Jennings was an American special effects artist renowned for his pioneering visual effects work in mid-20th-century Hollywood science fiction and adventure films.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb804756088190a766e1a486ccfdff completed March 31, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7b2d00c8190b7df13a0853a6374 completed April 2, 2026, 3:51 a.m.
NEDg Description generation batch_69cdeb2209908190a9c2b7258295561e completed April 2, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_69cdec53410c8190b4c5e412922801dd completed April 2, 2026, 4:10 a.m.
Created at: March 30, 2026, 5:59 p.m.