Triple

T7595342
Position Surface form Disambiguated ID Type / Status
Subject Doom Patrol E179843 entity
Predicate hasCharacter P2308 FINISHED
Object Larry Trainor
Larry Trainor is a DC Comics superhero better known as Negative Man, a bandage-wrapped Doom Patrol member bonded with a radioactive energy being.
 E674803 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: Larry Trainor | Statement: [Doom Patrol, hasCharacter, Larry Trainor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larry Trainor
Context triple: [Doom Patrol, hasCharacter, Larry Trainor]
  • A. Steve Traxler
    Steve Traxler is a theater and film producer best known for his work on the acclaimed stage and screen versions of "August: Osage County."
  • B. Bryan Devendorf
    Bryan Devendorf is an American drummer best known as a founding member and rhythmic backbone of the indie rock band The National.
  • C. Dave Trager
    Dave Trager was a sports executive best known for owning the early NBA franchise that became the Chicago Packers.
  • D. Bryan Olson
    Bryan Olson is a musician best known for his work with the indie supergroup Gayngs.
  • E. Brian Dutcher
    Brian Dutcher is an American college basketball coach best known for leading the San Diego State Aztecs to national prominence, including a run to the 2023 NCAA championship game.
  • 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: Larry Trainor
Triple: [Doom Patrol, hasCharacter, Larry Trainor]
Generated description
Larry Trainor is a DC Comics superhero better known as Negative Man, a bandage-wrapped Doom Patrol member bonded with a radioactive energy being.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larry Trainor
Target entity description: Larry Trainor is a DC Comics superhero better known as Negative Man, a bandage-wrapped Doom Patrol member bonded with a radioactive energy being.
  • A. Steve Traxler
    Steve Traxler is a theater and film producer best known for his work on the acclaimed stage and screen versions of "August: Osage County."
  • B. Bryan Devendorf
    Bryan Devendorf is an American drummer best known as a founding member and rhythmic backbone of the indie rock band The National.
  • C. Dave Trager
    Dave Trager was a sports executive best known for owning the early NBA franchise that became the Chicago Packers.
  • D. Bryan Olson
    Bryan Olson is a musician best known for his work with the indie supergroup Gayngs.
  • E. Brian Dutcher
    Brian Dutcher is an American college basketball coach best known for leading the San Diego State Aztecs to national prominence, including a run to the 2023 NCAA championship game.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bbcd8081909a229d7faa2ffdc8 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8619d6f2081908c8b589d4106691f completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86211e4f88190b38bce6441e33b53 completed March 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69c862bb95e881909a60608a5279238d completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:53 p.m.