Triple
T37643175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeepney TV |
E936666
|
entity |
| Predicate | formerNames |
P65
|
FINISHED |
| Object |
ABS-CBN Classics
ABS-CBN Classics was the original name of the Filipino cable channel now known as Jeepney TV, which specializes in airing classic ABS-CBN television programs.
|
E2235489
|
NE FINISHED |
How this triple was built (3 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: ABS-CBN Classics | Statement: [Jeepney TV, formerNames, ABS-CBN Classics]
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: ABS-CBN Classics Triple: [Jeepney TV, formerNames, ABS-CBN Classics]
Generated description
ABS-CBN Classics was the original name of the Filipino cable channel now known as Jeepney TV, which specializes in airing classic ABS-CBN television programs.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNames Context triple: [Jeepney TV, formerNames, ABS-CBN Classics]
-
A.
formerName
chosen
Indicates that an entity was previously known by a different name in the past.
-
B.
historicalNameUsedIn
Indicates that a historical or former name was used to refer to a particular entity in some context.
-
C.
promotionFormerName
Indicates that an entity previously operated or was known under a different promotion name before adopting its current one.
-
D.
heldAtFormerName
Indicates that an event or activity took place at a location when it was known by a previous or former name.
-
E.
formerMemberName
Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
- F. None of above.
Provenance (6 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01185c46f0819089b4a2ad3c3e2f33 |
completed | May 10, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40affbd3c8819085a2b8d9d256b23b |
completed | June 28, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_6a40b06b98a48190ac9bda3bf15b110d |
completed | June 28, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40b0f1db0c8190ac485f992c9ac90f |
completed | June 28, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_6a0117e19e008190870663dd45084416 |
completed | May 10, 2026, 11:42 p.m. |
Created at: May 3, 2026, 4:18 p.m.