Triple
T11581387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eat Bulaga! |
E274632
|
entity |
| Predicate | hasHost |
P2592
|
FINISHED |
| Object | Joey de Leon |
E934734
|
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: Joey de Leon | Statement: [Eat Bulaga!, hasHost, Joey de Leon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joey de Leon Context triple: [Eat Bulaga!, hasHost, Joey de Leon]
-
A.
Joey de Leon
chosen
Joey de Leon is a Filipino comedian, television host, actor, and songwriter best known as one of the pioneering hosts and creative forces behind the long-running noontime variety show "Eat Bulaga!"
-
B.
Piolo Pascual
Piolo Pascual is a prominent Filipino actor, film producer, and recording artist known for his leading roles in Philippine cinema and television.
-
C.
Coco Martin
Coco Martin is a Filipino actor, director, and producer best known as a leading star of Philippine television dramas and action series.
-
D.
Cesar Montano
Cesar Montano is a Filipino actor and filmmaker known for his prominent roles in Philippine cinema and appearances in international war films.
-
E.
Hendel Butoy
Hendel Butoy is an animation director best known for his work with Walt Disney Feature Animation, including co-directing the film "The Rescuers Down Under."
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904c51b881909e7be84c6f3de79f |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a78d80448190a93ca0ebfbd7e3a4 |
completed | April 22, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:38 p.m.