Triple
T6179099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Cable |
E137893
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tom Cable |
E137893
|
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: Tom Cable | Statement: [Tom Cable, name, Tom Cable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Cable Context triple: [Tom Cable, name, Tom Cable]
-
A.
Tom Cable
chosen
Tom Cable is an American football coach best known for serving as head coach of the Oakland Raiders and as an offensive line coach for several NFL teams.
-
B.
Dan Campbell
Dan Campbell is an American football coach and former NFL tight end known for his intense, motivational leadership style as the head coach of the Detroit Lions.
-
C.
Mike McDaniel
Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
-
D.
Jake Arians
Jake Arians is a former American football placekicker who briefly played in the NFL, notably for the Buffalo Bills.
-
E.
Earl Stallings
Earl Stallings was an American Baptist minister known for his moderate stance on civil rights and for being one of the white clergymen addressed in Martin Luther King Jr.’s “Letter from Birmingham Jail.”
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dcb77948190b5385438f81bf0a8 |
completed | March 22, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141bf3f4081909849e38d322da251 |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:18 p.m.