Triple
T2255983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romeo Crennel |
E49724
|
entity |
| Predicate | roleAtNewEnglandPatriots |
P36756
|
FINISHED |
| Object | defensive coordinator |
—
|
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: defensive coordinator | Statement: [Romeo Crennel, roleAtNewEnglandPatriots, defensive coordinator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtNewEnglandPatriots Context triple: [Romeo Crennel, roleAtNewEnglandPatriots, defensive coordinator]
-
A.
eraOfUseByNewEnglandPatriots
Indicates the time period during which the New England Patriots used or were associated with the subject entity.
-
B.
PatriotsQuarterback
Indicates that one entity serves as the quarterback for the New England Patriots football team.
-
C.
playedInNFCChampionshipGameWith
Indicates that two players participated together on the same team in at least one NFC Championship Game.
-
D.
associatedWithQuarterback
Indicates a relationship where an entity has a connection, role, or involvement with a quarterback.
-
E.
NFLDebutTeam
Indicates the team for which a player made their first appearance in an NFL game.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbdb34c148190b51e99f540f97204 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe86dbcc81908c72793af8fe2a4d |
completed | March 7, 2026, 5:58 a.m. |
Created at: March 4, 2026, 7:47 p.m.