Triple

T16670484
Position Surface form Disambiguated ID Type / Status
Subject L.A. Guns E405093 entity
Predicate hasMember P10 FINISHED
Object Johnny Monaco
Johnny Monaco is an American rock guitarist and vocalist best known for his work with bands such as L.A. Guns and Enuff Z'Nuff.
E1227217 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 Monaco | Statement: [L.A. Guns, hasMember, Johnny Monaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Monaco
Context triple: [L.A. Guns, hasMember, Johnny Monaco]
  • A. Joe D'Arco
    Joe D'Arco is a musician best known as a former member of the American rock band Godsmack.
  • B. Bart Mancuso
    Bart Mancuso is a skilled and composed U.S. Navy submarine commander featured in Tom Clancy’s novel and film adaptation "The Hunt for Red October."
  • C. Mickey Gubitosi
    Mickey Gubitosi is the childhood stage name of American actor Robert Blake, who first gained fame as a child performer in the "Our Gang" comedy shorts.
  • D. Tony Rome
    Tony Rome is a 1967 neo-noir detective film starring Frank Sinatra as a hard-boiled private investigator in Miami.
  • E. Marv Fleming
    Marv Fleming is a former NFL tight end best known for winning multiple Super Bowls with the Green Bay Packers and Miami Dolphins, including being part of the Dolphins’ historic perfect season.
  • 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 Monaco
Triple: [L.A. Guns, hasMember, Johnny Monaco]
Generated description
Johnny Monaco is an American rock guitarist and vocalist best known for his work with bands such as L.A. Guns and Enuff Z'Nuff.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Johnny Monaco
Target entity description: Johnny Monaco is an American rock guitarist and vocalist best known for his work with bands such as L.A. Guns and Enuff Z'Nuff.
  • A. Joe D'Arco
    Joe D'Arco is a musician best known as a former member of the American rock band Godsmack.
  • B. Bart Mancuso
    Bart Mancuso is a skilled and composed U.S. Navy submarine commander featured in Tom Clancy’s novel and film adaptation "The Hunt for Red October."
  • C. Mickey Gubitosi
    Mickey Gubitosi is the childhood stage name of American actor Robert Blake, who first gained fame as a child performer in the "Our Gang" comedy shorts.
  • D. Tony Rome
    Tony Rome is a 1967 neo-noir detective film starring Frank Sinatra as a hard-boiled private investigator in Miami.
  • E. Marv Fleming
    Marv Fleming is a former NFL tight end best known for winning multiple Super Bowls with the Green Bay Packers and Miami Dolphins, including being part of the Dolphins’ historic perfect season.
  • 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.