Triple
T11612308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapamilya Channel |
E275412
|
entity |
| Predicate | brandingOrigin |
P100599
|
FINISHED |
| Object | derived from ABS-CBN’s Kapamilya brand |
—
|
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: derived from ABS-CBN’s Kapamilya brand | Statement: [Kapamilya Channel, brandingOrigin, derived from ABS-CBN’s Kapamilya brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandingOrigin Context triple: [Kapamilya Channel, brandingOrigin, derived from ABS-CBN’s Kapamilya brand]
-
A.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
-
B.
brandingMeaning
Indicates the conceptual message, values, or identity that a brand is intended to convey or represent.
-
C.
sloganOrigin
Indicates the source or origin from which a particular slogan was created, derived, or adopted.
-
D.
brandingIntroduced
Indicates that a particular branding or brand identity has been newly introduced or brought into use for an entity.
-
E.
brandingStyle
Indicates the specific visual and stylistic approach used to represent a brand’s identity.
- F. None of above. chosen
Provenance (4 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a043a3c08190a20cbc2ba5a8d218 |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.