Triple
T11332550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bautista |
E268381
|
entity |
| Predicate | hasAlternativeForm |
P455
|
FINISHED |
| Object | de Bautista |
E268381
|
NE FINISHED |
How this triple was built (2 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: de Bautista | Statement: [Bautista, hasAlternativeForm, de Bautista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Bautista Context triple: [Bautista, hasAlternativeForm, de Bautista]
-
A.
Bautista
chosen
Bautista is a Spanish-origin surname common in the Hispanic world and borne by numerous notable figures in sports, politics, and the arts.
-
B.
Rey Bautista
Rey Bautista is a Filipino professional boxer known for his power-punching style and success in the featherweight and super bantamweight divisions.
-
C.
Christian Bautista
Christian Bautista is a Filipino singer, actor, and model best known for his romantic ballads and popularity across Southeast Asia.
-
D.
Kiray Celis
Kiray Celis is a Filipino actress and comedian best known for her work in television and film, particularly in youth-oriented and comedy programs.
-
E.
Rico Bandello
Rico Bandello is the ruthless, ambitious gangster protagonist of the classic 1931 crime film "Little Caesar," often cited as one of cinema’s earliest and most influential mob antiheroes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5432abfd081909d1bbf6460643fb9 |
completed | April 19, 2026, 9:03 p.m. |
Created at: April 8, 2026, 9:32 p.m.