Triple
T3210406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Tomlin |
E67264
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mike Tomlin |
E67264
|
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 Tomlin | Statement: [Mike Tomlin, name, Mike Tomlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Tomlin Context triple: [Mike Tomlin, name, Mike Tomlin]
-
A.
Mike Tomlin
chosen
Mike Tomlin is a Super Bowl–winning head coach in the NFL, best known for his long, successful tenure leading the Pittsburgh Steelers.
-
B.
Doug Pederson
Doug Pederson is an American football coach best known for leading the Philadelphia Eagles to their first Super Bowl championship in franchise history.
-
C.
Andy Reid
Andy Reid is a highly successful American football head coach best known for leading the Philadelphia Eagles and Kansas City Chiefs to multiple conference titles and Super Bowl victories.
-
D.
Bill Cowher
Bill Cowher is a former NFL head coach best known for leading the Pittsburgh Steelers to consistent success, including a victory in Super Bowl XL.
-
E.
Mike McDaniel
Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaab886c48190b72e36d0ac855ffe |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2771204e0819086ae2838a368589a |
completed | March 12, 2026, 8:19 a.m. |
Created at: March 8, 2026, 3:07 p.m.