Triple

T14072631
Position Surface form Disambiguated ID Type / Status
Subject Coleman Coliseum E338648 entity
Predicate namedAfter P63 FINISHED
Object Jeff Coleman
Jeff Coleman is the namesake of Coleman Coliseum, a prominent multi-purpose arena at the University of Alabama.
 E1077438 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: Jeff Coleman | Statement: [Coleman Coliseum, namedAfter, Jeff Coleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeff Coleman
Context triple: [Coleman Coliseum, namedAfter, Jeff Coleman]
  • A. Mark Coleman
    Mark Coleman is an American mixed martial artist and former UFC heavyweight champion widely regarded as a pioneer of ground-and-pound fighting.
  • B. Ken Coleman
    Ken Coleman was an American sportscaster best known for his long career calling Major League Baseball and NFL games on radio and television, particularly for the Boston Red Sox and Cleveland Browns.
  • C. 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.
  • D. 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.
  • E. Jimmy Coleman
    Jimmy Coleman is an actor known for his role in the film "Riff-Raff."
  • 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: Jeff Coleman
Triple: [Coleman Coliseum, namedAfter, Jeff Coleman]
Generated description
Jeff Coleman is the namesake of Coleman Coliseum, a prominent multi-purpose arena at the University of Alabama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeff Coleman
Target entity description: Jeff Coleman is the namesake of Coleman Coliseum, a prominent multi-purpose arena at the University of Alabama.
  • A. Mark Coleman
    Mark Coleman is an American mixed martial artist and former UFC heavyweight champion widely regarded as a pioneer of ground-and-pound fighting.
  • B. Ken Coleman
    Ken Coleman was an American sportscaster best known for his long career calling Major League Baseball and NFL games on radio and television, particularly for the Boston Red Sox and Cleveland Browns.
  • 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. Jimmy Coleman
    Jimmy Coleman is an actor known for his role in the film "Riff-Raff."
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5aa828819098ef55a70a0decbc completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66eeb248190b73e992ab6b9af82 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc37502048190b24438c0fb161fdf completed May 7, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_69fcc3db83ac819083b728d039b8d345 completed May 7, 2026, 4:54 p.m.
Created at: April 9, 2026, 10:21 p.m.