Triple
T7416905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike and Mike |
E171151
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object | Mike Golic |
E664032
|
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: Mike Golic | Statement: [Mike and Mike, presenter, Mike Golic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Golic Context triple: [Mike and Mike, presenter, Mike Golic]
-
A.
Mike Golic
chosen
Mike Golic is a former NFL defensive lineman and longtime ESPN radio personality best known for co-hosting the popular sports talk show "Mike and Mike."
-
B.
Lorne David Michaels
Lorne David Michaels is a Canadian-American television producer, writer, and comedian best known as the creator and longtime executive producer of the sketch comedy show Saturday Night Live.
-
C.
Lou Carducci
Lou Carducci is a fictional character played by American actress and model Mackenzie Foy.
-
D.
Chris Berman
Chris Berman is a longtime ESPN sportscaster best known for his energetic NFL coverage and signature catchphrases.
-
E.
Gus Johnson
Gus Johnson was an American jazz drummer known for his swinging style and work with prominent big bands and blues musicians in the mid-20th century.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c7ae0c8190a8348d6223aeeecc |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8277c92788190bcd36cfa461b4d95 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:11 p.m.