Triple
T102301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Football League |
E2064
|
entity |
| Predicate | televisionPartners |
P833
|
FINISHED |
| Object | Fox |
E2195
|
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 | Statement: [National Football League, televisionPartners, Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fox Context triple: [National Football League, televisionPartners, Fox]
-
A.
Fox
chosen
Fox is a major American broadcast television network known for airing NFL games, including extensive coverage of NFC East matchups.
-
B.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
C.
Forever Enterprises
Forever Enterprises is the private company that owns and operates the historic Hollywood Forever Cemetery in Los Angeles.
-
D.
Svans
Svans are a distinct subethnic group of Georgians known for their unique Svan language, highland culture, and traditional communities in the Svaneti region of the Caucasus.
-
E.
Nielson
Nielson is a surname and given name that functions as a spelling variant of Nelson, commonly of Scandinavian or English origin.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25b7e2c188190b1dd8aafd4507a99 |
completed | Feb. 28, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26c1e3b688190ab90ecf5f2d55e50 |
completed | Feb. 28, 2026, 4:16 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.