Triple
T27458332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrique Gil |
E692661
|
entity |
| Predicate | hasTelevisionDebut |
P168095
|
FINISHED |
| Object | Philippine television |
—
|
LITERAL 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: Philippine television | Statement: [Enrique Gil, hasTelevisionDebut, Philippine television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelevisionDebut Context triple: [Enrique Gil, hasTelevisionDebut, Philippine television]
-
A.
televisionDebutWith
Indicates the relationship in which an entity makes its first appearance on television in association with a particular work, program, or context.
-
B.
debutedOnTelevisionIn
chosen
Indicates that an entity made its first appearance or was first broadcast on television in a specified time or context.
-
C.
televisionDebutNetwork
Indicates the television network on which an entity (such as a show or person) first appeared or made its debut.
-
D.
debutInCinema
Indicates that a film or work is first publicly released or shown in movie theaters.
-
E.
theaterDebutWith
Indicates that an entity made its first appearance or performance in a theater production together with another specified entity.
- F. None of above.
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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 27, 2026, 12:49 p.m.