Triple
T13692838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Tirico |
E328310
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mike Tirico |
E64497
|
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 Tirico | Statement: [Mike Tirico, name, Mike Tirico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Tirico Context triple: [Mike Tirico, name, Mike Tirico]
-
A.
Mike Tirico
chosen
Mike Tirico is an American sportscaster best known for his play-by-play work on major NFL and other marquee sports broadcasts for NBC and previously ESPN.
-
B.
Tony Currenti
Tony Currenti is an Italian-Australian drummer best known for playing on several early AC/DC recordings, including much of their debut album "High Voltage."
-
C.
Don Lemon
Don Lemon is an American television journalist and former CNN anchor known for hosting the prime-time program "CNN Tonight with Don Lemon" and co-anchoring major live events.
-
D.
Lou Carducci
Lou Carducci is a fictional character played by American actress and model Mackenzie Foy.
-
E.
John Berman
John Berman is an American journalist and television news anchor best known for his work on CNN, including co-anchoring major news programs and special event coverage.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944e7ea0819098a9fbf8842d314b |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.