Triple
T10334565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tab Ramos |
E242966
|
entity |
| Predicate | startTimeAsCoachOfHoustonDynamo |
P93749
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Tab Ramos, startTimeAsCoachOfHoustonDynamo, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsCoachOfHoustonDynamo Context triple: [Tab Ramos, startTimeAsCoachOfHoustonDynamo, 2019]
-
A.
startTimeAsDefensiveCoordinatorForDallasCowboys
Indicates the date and time when an individual began serving as the defensive coordinator for the Dallas Cowboys.
-
B.
beganHeadCoachingCareerWith
Indicates that an individual started their head coaching career with a specified team or organization.
-
C.
beganUnderCoach
Indicates that one entity started its activity, career, or involvement while being coached or supervised by another entity.
-
D.
startTimeAsDefensiveCoordinatorForSeattleSeahawks
Indicates the date and time when an individual began serving as the defensive coordinator for the Seattle Seahawks.
-
E.
startTimeAsCaptain
Indicates the point in time when an entity first assumes the role or position of captain.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:53 a.m.