Triple
T11581119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMA News TV |
E274627
|
entity |
| Predicate | replaced |
P101
|
FINISHED |
| Object |
QTV
QTV was a Philippine television network operated by GMA Network that primarily aired lifestyle, entertainment, and imported programming before being rebranded as GMA News TV.
|
E934707
|
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: QTV | Statement: [GMA News TV, replaced, QTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QTV Context triple: [GMA News TV, replaced, QTV]
-
A.
GTV
GTV is a Japanese television network that has broadcast popular anime series such as Demon Slayer: Kimetsu no Yaiba.
-
B.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
C.
Start TV
Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 2000s.
-
D.
TVH
TVH is an Indian real estate and infrastructure development company known for sponsoring chess legend Viswanathan Anand.
-
E.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
- 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: QTV Triple: [GMA News TV, replaced, QTV]
Generated description
QTV was a Philippine television network operated by GMA Network that primarily aired lifestyle, entertainment, and imported programming before being rebranded as GMA News TV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QTV Target entity description: QTV was a Philippine television network operated by GMA Network that primarily aired lifestyle, entertainment, and imported programming before being rebranded as GMA News TV.
-
A.
GTV
GTV is a Japanese television network that has broadcast popular anime series such as Demon Slayer: Kimetsu no Yaiba.
-
B.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
C.
Start TV
Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 2000s.
-
D.
TVH
TVH is an Indian real estate and infrastructure development company known for sponsoring chess legend Viswanathan Anand.
-
E.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
- 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_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_69e7141b16d8819099002a009260a85a |
completed | April 21, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69e720f9a8588190aa766d2e1628207a |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e72315dda08190996aa84587c5fc80 |
completed | April 21, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:38 p.m.