Triple

T20542700
Position Surface form Disambiguated ID Type / Status
Subject TFNG E504386 entity
Predicate member P10 FINISHED
Object Michael Coats
Michael Coats is a former NASA astronaut and aerospace engineer who flew on three Space Shuttle missions and later served as director of the Johnson Space Center.
E1436826 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: Michael Coats | Statement: [TFNG, member, Michael Coats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Coats
Context triple: [TFNG, member, Michael Coats]
  • A. Peter Coates
    Peter Coates is a British businessman and football executive best known as the long-serving chairman and owner of Stoke City Football Club.
  • B. Eric J. Coates
    Eric J. Coates is a prominent researcher known for his influential contributions to the British Classification Research School and the field of information classification.
  • C. Jim Coates
    Jim Coates is the husband of Katie Coates, known primarily in relation to her.
  • D. Kim Coates
    Kim Coates is a Canadian-American actor best known for his role as the ruthless yet charismatic biker Tig Trager on the television series "Sons of Anarchy."
  • E. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • 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: Michael Coats
Triple: [TFNG, member, Michael Coats]
Generated description
Michael Coats is a former NASA astronaut and aerospace engineer who flew on three Space Shuttle missions and later served as director of the Johnson Space Center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Coats
Target entity description: Michael Coats is a former NASA astronaut and aerospace engineer who flew on three Space Shuttle missions and later served as director of the Johnson Space Center.
  • A. Peter Coates
    Peter Coates is a British businessman and football executive best known as the long-serving chairman and owner of Stoke City Football Club.
  • B. Eric J. Coates
    Eric J. Coates is a prominent researcher known for his influential contributions to the British Classification Research School and the field of information classification.
  • C. Jim Coates
    Jim Coates is the husband of Katie Coates, known primarily in relation to her.
  • D. Kim Coates
    Kim Coates is a Canadian-American actor best known for his role as the ruthless yet charismatic biker Tig Trager on the television series "Sons of Anarchy."
  • E. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a293feac8190b27848b64f2db1fe completed April 20, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a56b9b3081908786edd7c6867c98 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a6439bc08190a2df7f1f7b24fadb completed May 16, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_6a08a70118dc8190bdf07bcc3342340e completed May 16, 2026, 5:18 p.m.
Created at: April 16, 2026, 11:38 a.m.