Triple
T7102163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XI |
E165483
|
entity |
| Predicate | referee |
P268
|
FINISHED |
| Object | Ben Dreith |
E210895
|
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: Ben Dreith | Statement: [Super Bowl XI, referee, Ben Dreith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Dreith Context triple: [Super Bowl XI, referee, Ben Dreith]
-
A.
Ben Dreith
chosen
Ben Dreith is a former American football official best known for his long career as an NFL referee, including working high-profile games such as Super Bowl XV.
-
B.
Paul Devorski
Paul Devorski is a retired Canadian National Hockey League referee known for officiating numerous high-profile games over his long career.
-
C.
Eric Eldred
Eric Eldred is an American digital rights activist and publisher known for his work promoting free access to literature and for co-founding the Creative Commons movement.
-
D.
Carl Piper
Carl Piper was a prominent Swedish statesman and close adviser to King Charles XII during the Great Northern War.
-
E.
Bryan Woodman
Bryan Woodman is a young, ambitious energy analyst whose personal tragedy and moral awakening drive one of the central storylines in the geopolitical drama film "Syriana."
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e588aee08190bfb3d96135c0a322 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79ca9b58c8190a91023de6811b21a |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:42 p.m.