Triple

T14225541
Position Surface form Disambiguated ID Type / Status
Subject Janet McTeer E352606 entity
Predicate spouse P13 FINISHED
Object Joseph Coleman
Joseph Coleman is a British actor and the husband of acclaimed stage and screen actress Janet McTeer.
 E1113272 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: Joseph Coleman | Statement: [Janet McTeer, spouse, Joseph Coleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joseph Coleman
Context triple: [Janet McTeer, spouse, Joseph Coleman]
  • A. Rob Coleman
    Rob Coleman is a visual effects supervisor and animation director best known for his work on major films at Industrial Light & Magic, including the Star Wars prequel trilogy.
  • B. Charles Coleman
    Charles Coleman was an Australian-born character actor known for his frequent roles as butlers and valets in numerous Hollywood films during the early to mid-20th century.
  • C. John Coleman
    John Coleman was a legendary Australian rules footballer renowned as one of Essendon Football Club’s greatest full-forwards and most prolific goal scorers.
  • D. John Coleman
    John Coleman was an American television meteorologist and entrepreneur best known for co-founding and serving as the first CEO of The Weather Channel.
  • E. Tom Coleman
    Tom Coleman is an individual known for his involvement in the killing of Jonathan M. Daniels.
  • 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: Joseph Coleman
Triple: [Janet McTeer, spouse, Joseph Coleman]
Generated description
Joseph Coleman is a British actor and the husband of acclaimed stage and screen actress Janet McTeer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joseph Coleman
Target entity description: Joseph Coleman is a British actor and the husband of acclaimed stage and screen actress Janet McTeer.
  • A. Rob Coleman
    Rob Coleman is a visual effects supervisor and animation director best known for his work on major films at Industrial Light & Magic, including the Star Wars prequel trilogy.
  • B. Charles Coleman
    Charles Coleman was an Australian-born character actor known for his frequent roles as butlers and valets in numerous Hollywood films during the early to mid-20th century.
  • C. John Coleman
    John Coleman was a legendary Australian rules footballer renowned as one of Essendon Football Club’s greatest full-forwards and most prolific goal scorers.
  • D. John Coleman
    John Coleman was an American television meteorologist and entrepreneur best known for co-founding and serving as the first CEO of The Weather Channel.
  • E. Tom Coleman
    Tom Coleman is an individual known for his involvement in the killing of Jonathan M. Daniels.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6228e53c8190abbe4e2d88a7362a completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15f2cd8819085f949fa5122af2a completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde33636088190905a1b4514a29d82 completed May 8, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_69fde39e14788190838af5f6ac1e3ba7 completed May 8, 2026, 1:22 p.m.
Created at: April 10, 2026, 1:06 a.m.