Triple
T16695542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Martin |
E405705
|
entity |
| Predicate | createdFor |
P7551
|
FINISHED |
| Object | Fox network |
E16384
|
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: Fox network | Statement: [Donna Martin, createdFor, Fox network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fox network Context triple: [Donna Martin, createdFor, Fox network]
-
A.
FOX
FOX is the Class B common stock of Fox Corporation, a major American media company known for its television broadcasting, news, and sports networks.
-
B.
Fox Broadcasting Company
chosen
Fox Broadcasting Company is a major American television network known for its prime-time entertainment programming, including hit series, sports broadcasts, and news.
-
C.
FX Networks
FX Networks is an American cable television network known for its critically acclaimed original series and edgy, adult-oriented programming.
-
D.
Fox Networks Group
Fox Networks Group was a global media company that operated and distributed a portfolio of television channels and related content brands worldwide.
-
E.
Fox Channel
Fox Channel is an international entertainment television network known for airing a mix of popular TV series, movies, and original programming across various global markets.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eacfa788190a8d2058f96c0d445 |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919d02088190acecb1a62a100255 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.