Triple
T11332540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bautista |
E268381
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Christian Bautista
Christian Bautista is a Filipino singer, actor, and model best known for his romantic ballads and popularity across Southeast Asia.
|
E918139
|
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: Christian Bautista | Statement: [Bautista, hasNotableBearer, Christian Bautista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Bautista Context triple: [Bautista, hasNotableBearer, Christian Bautista]
-
A.
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.
-
B.
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.
-
C.
Michael Cerda
Michael Cerda is a media and technology executive and producer known for his work in digital entertainment and content development.
-
D.
Ray Rojo
Ray Rojo is a musician best known as a member of the American rock band The Boxmasters.
-
E.
Adrian Paz
Adrian Paz is a former professional soccer player best known for scoring in the 1997 MLS Cup final.
- 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: Christian Bautista Triple: [Bautista, hasNotableBearer, Christian Bautista]
Generated description
Christian Bautista is a Filipino singer, actor, and model best known for his romantic ballads and popularity across Southeast Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Bautista Target entity description: Christian Bautista is a Filipino singer, actor, and model best known for his romantic ballads and popularity across Southeast Asia.
-
A.
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.
-
B.
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.
-
C.
Michael Cerda
Michael Cerda is a media and technology executive and producer known for his work in digital entertainment and content development.
-
D.
Ray Rojo
Ray Rojo is a musician best known as a member of the American rock band The Boxmasters.
-
E.
Adrian Paz
Adrian Paz is a former professional soccer player best known for scoring in the 1997 MLS Cup final.
- 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_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_69e5263160548190adb7d5c0fd6af0e2 |
completed | April 19, 2026, 7 p.m. |
| NEDg | Description generation | batch_69e52c83768c819086ebfd870ad81998 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531d0ab5881909814160b86c8e76b |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.