Triple
T17440125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coach Nate Scarborough |
E424126
|
entity |
| Predicate | coachesPosition |
P127460
|
FINISHED |
| Object | offense |
—
|
LITERAL 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: offense | Statement: [Coach Nate Scarborough, coachesPosition, offense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachesPosition Context triple: [Coach Nate Scarborough, coachesPosition, offense]
-
A.
coachesInclude
Indicates that a set, group, or collection of coaches contains or includes a particular coach or subset of coaches.
-
B.
coachesInConference
Indicates that a coach is responsible for leading or coaching a team within a specified athletic conference.
-
C.
championCoachPosition
Indicates that a coach held the coaching position for a team that won a championship.
-
D.
coachesConference
Indicates that one entity serves as a coach or trainer for another entity in the context of a conference.
-
E.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
- F. None of above. chosen
Provenance (4 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff63e5481908a3ea0aa221360c5 |
completed | April 19, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.