Triple
T23491832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England Patriots coaching staff of the early 2000s |
E570696
|
entity |
| Predicate | wideReceiversCoach |
P127460
|
FINISHED |
| Object | Brian Daboll |
—
|
NE NERFINISHED |
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: Brian Daboll | Statement: [New England Patriots coaching staff of the early 2000s, wideReceiversCoach, Brian Daboll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wideReceiversCoach Context triple: [New England Patriots coaching staff of the early 2000s, wideReceiversCoach, Brian Daboll]
-
A.
coachesWith
Indicates that one entity serves as a coach or trainer in relation to another entity.
-
B.
coachesInclude
Indicates that a set, group, or collection of coaches contains or includes a particular coach or subset of coaches.
-
C.
coachesPosition
chosen
Indicates that one entity serves as the coach for a specific position or role associated with another entity.
-
D.
coachesSport
Indicates that one entity serves as the coach or trainer responsible for another entity’s participation in a particular sport.
-
E.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
- F. None of above.
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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7dc631c819099027e3a1c755a66 |
completed | April 29, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:05 p.m.