Triple
T14040617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiya Tomlin |
E337834
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | 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: Tomlin | Statement: [Kiya Tomlin, hasFamilyName, Tomlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomlin Context triple: [Kiya Tomlin, hasFamilyName, Tomlin]
-
A.
Trestman
Trestman is the surname of Marc Trestman, an American football coach known for his work in the NFL and CFL.
-
B.
Rhule
Rhule is the surname of American football coach Matt Rhule, known for his collegiate and NFL head coaching roles.
-
C.
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.
-
D.
Stephen Belichick
Stephen Belichick is an American football coach, best known as an assistant on the New England Patriots staff and the son of longtime head coach Bill Belichick.
-
E.
Brian Belichick
Brian Belichick is an American football coach who has served on the New England Patriots’ staff, continuing the Belichick family’s long association with the NFL.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de311814e48190adb637e1c97c0658 |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65a21088190a14808d09b2b9f42 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.