Triple
T2255986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romeo Crennel |
E49724
|
entity |
| Predicate | roleAtKansasCityChiefs |
P13665
|
FINISHED |
| Object | head coach |
—
|
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: head coach | Statement: [Romeo Crennel, roleAtKansasCityChiefs, head coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtKansasCityChiefs Context triple: [Romeo Crennel, roleAtKansasCityChiefs, head coach]
-
A.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
B.
associatedWithQuarterback
Indicates a relationship where an entity has a connection, role, or involvement with a quarterback.
-
C.
playedInNFCChampionshipGameWith
Indicates that two players participated together on the same team in at least one NFC Championship Game.
-
D.
ownerDuringNFLEra
Indicates that a person or entity held ownership of an NFL team during a specified NFL era or time period.
-
E.
BroncosQuarterback
Indicates that the subject is the quarterback for the Denver Broncos football team.
- 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_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. |
Created at: March 4, 2026, 7:47 p.m.