Triple

T9342362
Position Surface form Disambiguated ID Type / Status
Subject Dave Bautista E224791 entity
Predicate instagramUsername P3718 FINISHED
Object davebautista
davebautista is the Instagram handle of Dave Bautista, the American actor and former professional wrestler best known for playing Drax in Marvel’s Guardians of the Galaxy films.
E792784 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: davebautista | Statement: [Dave Bautista, instagramUsername, davebautista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: davebautista
Context triple: [Dave Bautista, instagramUsername, davebautista]
  • A. D-a-v-e
    D-a-v-e is a stylized spelling of the common given name "Dave," typically a diminutive of "David."
  • B. Dan Le Batard
    Dan Le Batard is an American sports journalist, radio and television host, and media personality best known for his irreverent, humorous approach to sports commentary and pop culture.
  • C. Davo
    Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
  • D. Davi
    Davi is a diminutive or affectionate short form of the given name Davina.
  • E. Michael De Guzman
    Michael De Guzman is an American screenwriter best known for his work on the film "Jaws: The Revenge" and various television movies and series.
  • 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: davebautista
Triple: [Dave Bautista, instagramUsername, davebautista]
Generated description
davebautista is the Instagram handle of Dave Bautista, the American actor and former professional wrestler best known for playing Drax in Marvel’s Guardians of the Galaxy films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: davebautista
Target entity description: davebautista is the Instagram handle of Dave Bautista, the American actor and former professional wrestler best known for playing Drax in Marvel’s Guardians of the Galaxy films.
  • A. D-a-v-e
    D-a-v-e is a stylized spelling of the common given name "Dave," typically a diminutive of "David."
  • B. Dan Le Batard
    Dan Le Batard is an American sports journalist, radio and television host, and media personality best known for his irreverent, humorous approach to sports commentary and pop culture.
  • C. Davo
    Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
  • D. Davi
    Davi is a diminutive or affectionate short form of the given name Davina.
  • E. Michael De Guzman
    Michael De Guzman is an American screenwriter best known for his work on the film "Jaws: The Revenge" and various television movies and series.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bb11cd08190b159a6066dd0ebf1 completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e4043e288190b05511d537b1614d completed April 4, 2026, 10:12 a.m.
NEDg Description generation batch_69d0e573af788190be4baaa3afb87ca2 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e607944c81909a421828595cd793 completed April 4, 2026, 10:20 a.m.
Created at: March 30, 2026, 7:40 p.m.