Triple
T10838281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyle Shanahan |
E255816
|
entity |
| Predicate | startTimeAsHeadCoachOfSanFrancisco49ers |
P95992
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Kyle Shanahan, startTimeAsHeadCoachOfSanFrancisco49ers, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsHeadCoachOfSanFrancisco49ers Context triple: [Kyle Shanahan, startTimeAsHeadCoachOfSanFrancisco49ers, 2017]
-
A.
endTimeAsHeadCoachOfNewYorkGiants
Indicates the point in time when an individual’s tenure as head coach of the New York Giants concludes.
-
B.
startTimeAsDefensiveCoordinatorForSeattleSeahawks
Indicates the date and time when an individual began serving as the defensive coordinator for the Seattle Seahawks.
-
C.
beganNFLHeadCoachingCareerWith
Indicates that an individual's first position as an NFL head coach was with the specified team.
-
D.
nflHeadCoachDebutSeason
Indicates the season in which a person first served as a head coach in the NFL.
-
E.
startTimeAsDefensiveCoordinatorForDallasCowboys
Indicates the date and time when an individual began serving as the defensive coordinator for the Dallas Cowboys.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d747002b3081908726901ee83d8f38 |
completed | April 9, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:19 p.m.