Triple
T9342357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Bautista |
E224791
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Oliver Bautista
Oliver Bautista is one of the children of American actor and former professional wrestler Dave Bautista.
|
E797716
|
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: Oliver Bautista | Statement: [Dave Bautista, hasChild, Oliver Bautista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Bautista Context triple: [Dave Bautista, hasChild, Oliver Bautista]
-
A.
Gabriel Valenzuela
Gabriel Valenzuela is a Colombian actor and model known for his roles in telenovelas and Latin American television.
-
B.
Guillermo Ramírez
Guillermo Ramírez is a Guatemalan former professional footballer best known for scoring the extra-time winning goal in the 2005 MLS Cup final for the Los Angeles Galaxy.
-
C.
Oscar Martinez
Oscar Martinez is a fictional accountant on the U.S. version of "The Office," known for his intelligence, dry wit, and often being the voice of reason among his eccentric coworkers.
-
D.
Óscar Rodríguez
Óscar Rodríguez is a Paraguayan politician who serves as the mayor of Asunción, the capital city of Paraguay.
-
E.
Omar Linares
Omar Linares is a legendary Cuban third baseman widely regarded as one of the greatest players in the history of Cuban baseball.
- 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: Oliver Bautista Triple: [Dave Bautista, hasChild, Oliver Bautista]
Generated description
Oliver Bautista is one of the children of American actor and former professional wrestler Dave Bautista.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oliver Bautista Target entity description: Oliver Bautista is one of the children of American actor and former professional wrestler Dave Bautista.
-
A.
Gabriel Valenzuela
Gabriel Valenzuela is a Colombian actor and model known for his roles in telenovelas and Latin American television.
-
B.
Guillermo Ramírez
Guillermo Ramírez is a Guatemalan former professional footballer best known for scoring the extra-time winning goal in the 2005 MLS Cup final for the Los Angeles Galaxy.
-
C.
Oscar Martinez
Oscar Martinez is a fictional accountant on the U.S. version of "The Office," known for his intelligence, dry wit, and often being the voice of reason among his eccentric coworkers.
-
D.
Óscar Rodríguez
Óscar Rodríguez is a Paraguayan politician who serves as the mayor of Asunción, the capital city of Paraguay.
-
E.
Omar Linares
Omar Linares is a legendary Cuban third baseman widely regarded as one of the greatest players in the history of Cuban baseball.
- 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_69d1078635648190ac908fd6bd7228b0 |
completed | April 4, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69d1087d01b08190aa4d17241244c26c |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1090215308190beda7c0115020f5b |
completed | April 4, 2026, 12:50 p.m. |
Created at: March 30, 2026, 7:40 p.m.