Triple
T2520195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABS-CBN Corporation |
E55503
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
iWantTFC
iWantTFC is a global Filipino streaming service offering on-demand ABS-CBN shows, movies, and live channels to audiences worldwide.
|
E275413
|
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: iWantTFC | Statement: [ABS-CBN Corporation, owns, iWantTFC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iWantTFC Context triple: [ABS-CBN Corporation, owns, iWantTFC]
-
A.
TFC
TFC is a professional Major League Soccer club based in Toronto, Ontario, known for its passionate fan base and home matches at BMO Field.
-
B.
TfGM
TfGM is the public body responsible for planning, coordinating, and improving public transport and related infrastructure across the Greater Manchester region in England.
-
C.
IN-TG
IN-TG is the ISO 3166-2 code that uniquely identifies the Indian state of Telangana.
-
D.
TWC
TWC was the stock ticker symbol for Time Warner Cable, a major American cable television and broadband internet provider that was acquired by Charter Communications.
-
E.
Tfng
Tfng is the ISO 15924 four-letter code assigned to the Tifinagh script used for writing various Berber (Amazigh) languages.
- 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: iWantTFC Triple: [ABS-CBN Corporation, owns, iWantTFC]
Generated description
iWantTFC is a global Filipino streaming service offering on-demand ABS-CBN shows, movies, and live channels to audiences worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: iWantTFC Target entity description: iWantTFC is a global Filipino streaming service offering on-demand ABS-CBN shows, movies, and live channels to audiences worldwide.
-
A.
TFC
TFC is a professional Major League Soccer club based in Toronto, Ontario, known for its passionate fan base and home matches at BMO Field.
-
B.
TfGM
TfGM is the public body responsible for planning, coordinating, and improving public transport and related infrastructure across the Greater Manchester region in England.
-
C.
IN-TG
IN-TG is the ISO 3166-2 code that uniquely identifies the Indian state of Telangana.
-
D.
TWC
TWC was the stock ticker symbol for Time Warner Cable, a major American cable television and broadband internet provider that was acquired by Charter Communications.
-
E.
Tfng
Tfng is the ISO 15924 four-letter code assigned to the Tifinagh script used for writing various Berber (Amazigh) languages.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2343e3081908819dc58d8ff40ce |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2ba2adc081908a0c7ff24db89de6 |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af51dee3508190a0d1608a7d905742 |
completed | March 9, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af52a97d008190b55491fa557eb729 |
completed | March 9, 2026, 11:07 p.m. |
Created at: March 6, 2026, 9:46 p.m.