Triple
T14821693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Tancredi |
E348465
|
entity |
| Predicate | network |
P2637
|
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: [Sara Tancredi, network, Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fox Context triple: [Sara Tancredi, network, 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.
Fox
The Fox were a Native American tribe of the Great Lakes region, closely allied with the Sauk and known for their resistance to U.S. expansion during the 18th and 19th centuries.
-
C.
Fox
Fox is a highly skilled and enigmatic assassin portrayed by Angelina Jolie in the 2008 action film "Wanted."
-
D.
Fox
Fox was a 19th-century British exploration vessel notably used in Arctic expeditions, including searches for the lost Franklin expedition.
-
E.
Fox
Fox is a common English surname borne by numerous notable figures across fields such as politics, entertainment, and sports.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe64328819083ce42704cf0602d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389bc06c8190a8269c07677d9c35 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:51 a.m.