Triple
T11612534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABS-CBN Corporation |
E275417
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | TV Patrol |
E936663
|
NE 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: TV Patrol | Statement: [ABS-CBN Corporation, notableWork, TV Patrol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV Patrol Context triple: [ABS-CBN Corporation, notableWork, TV Patrol]
-
A.
TV Patrol
chosen
TV Patrol is a long-running Philippine television newscast known for its nationwide coverage of current events and public affairs.
-
B.
GMA News TV
GMA News TV is a Philippine free-to-air television network known for its news, public affairs, and informational programming.
-
C.
Kapamilya Channel
Kapamilya Channel is a Philippine pay television network that serves as a primary platform for ABS-CBN’s entertainment, news, and public affairs programming.
-
D.
ABS-CBN News Channel
ABS-CBN News Channel is a Philippine 24-hour cable news and current affairs television channel known for its comprehensive national and international news coverage.
-
E.
GMA 7 Manila
GMA 7 Manila is a flagship television station of GMA Network in Metro Manila, known for its wide-reaching news, public affairs, and entertainment programming in the Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a043a3c08190a20cbc2ba5a8d218 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee872ee03481908a9d779a44ec5236 |
completed | April 26, 2026, 9:44 p.m. |
Created at: April 8, 2026, 9:38 p.m.