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.