Triple

T16670461
Position Surface form Disambiguated ID Type / Status
Subject L.A. Guns E405093 entity
Predicate hasMember P10 FINISHED
Object Johnny Martin
Johnny Martin is an American rock bassist best known for playing with the hard rock band L.A. Guns.
 E1227205 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: Johnny Martin | Statement: [L.A. Guns, hasMember, Johnny Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Johnny Martin
Context triple: [L.A. Guns, hasMember, Johnny Martin]
  • A. Mike Towry
    Mike Towry is an American organizer and historian best known as one of the original co-founders of what became San Diego Comic-Con, the influential pop culture convention.
  • B. Sam Martin
    Sam Martin is an American singer and songwriter best known for his vocal features on electronic dance music tracks and collaborations with prominent DJs.
  • C. Billy Miller
    Billy Miller was an American actor best known for his roles on soap operas such as "The Young and the Restless" and "General Hospital."
  • D. Ronnie Moran
    Ronnie Moran was a long-serving Liverpool FC coach and caretaker manager, renowned as a key figure in the club’s famed “Boot Room” era.
  • E. Ian Gibbons
    Ian Gibbons was an English keyboardist best known for his long tenure with the rock band The Kinks, contributing to their live performances and recordings from the late 1970s onward.
  • 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: Johnny Martin
Triple: [L.A. Guns, hasMember, Johnny Martin]
Generated description
Johnny Martin is an American rock bassist best known for playing with the hard rock band L.A. Guns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Johnny Martin
Target entity description: Johnny Martin is an American rock bassist best known for playing with the hard rock band L.A. Guns.
  • A. Mike Towry
    Mike Towry is an American organizer and historian best known as one of the original co-founders of what became San Diego Comic-Con, the influential pop culture convention.
  • B. Sam Martin
    Sam Martin is an American singer and songwriter best known for his vocal features on electronic dance music tracks and collaborations with prominent DJs.
  • C. Billy Miller
    Billy Miller was an American actor best known for his roles on soap operas such as "The Young and the Restless" and "General Hospital."
  • D. Ronnie Moran
    Ronnie Moran was a long-serving Liverpool FC coach and caretaker manager, renowned as a key figure in the club’s famed “Boot Room” era.
  • E. Ian Gibbons
    Ian Gibbons was an English keyboardist best known for his long tenure with the rock band The Kinks, contributing to their live performances and recordings from the late 1970s onward.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ca079ec819090b356c86a9241cc completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3692588190a94d349cb63d9749 completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008ad087b08190b725382c68687a15 completed May 10, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_6a008ba8227881908b1ac6e30d2e7c32 completed May 10, 2026, 1:44 p.m.
Created at: April 10, 2026, 5:18 a.m.