Triple
T1271302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Newman |
E15714
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | ITV |
E32241
|
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: ITV | Statement: [Sydney Newman, employer, ITV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITV Context triple: [Sydney Newman, employer, ITV]
-
A.
ITV
chosen
ITV is a major British free-to-air television network and media company known for its popular entertainment, drama, and news programming.
-
B.
ITV Digital
ITV Digital was a short-lived British digital terrestrial television service that collapsed in 2002 after financial difficulties, paving the way for its replacement by Freeview.
-
C.
ThisTV Network
ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
-
D.
Channel 4
Channel 4 is a British public-service television broadcaster known for its innovative, often provocative programming and support of diverse and groundbreaking drama and comedy.
-
E.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ae7b88190a1e0b5232d84a7b1 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac998b819c8190ad5a4095d31b5cb1 |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.