Triple
T37620402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Ford |
E936050
|
entity |
| Predicate | overallRecordAtArkansas |
P189079
|
FINISHED |
| Object | 20–21–1 |
—
|
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: 20–21–1 | Statement: [Danny Ford, overallRecordAtArkansas, 20–21–1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallRecordAtArkansas Context triple: [Danny Ford, overallRecordAtArkansas, 20–21–1]
-
A.
overallRecordAtOklahoma
Indicates the overall performance record (such as wins and losses) that an entity has achieved while associated with Oklahoma.
-
B.
overallRecordAtMissouri
Indicates the overall performance or win-loss record that an entity has achieved while competing at Missouri.
-
C.
hasCountyNumberInArkansas
Indicates that an entity is assigned a specific official county number within the state of Arkansas.
-
D.
metropolitanAreaPopulationRankInArkansas
Indicates the rank order of a metropolitan area's population size compared to other metropolitan areas within the state of Arkansas.
-
E.
MississippiStateAchievement
Indicates a relationship where an entity attains or is recognized for a notable accomplishment specifically associated with the state of Mississippi.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:18 p.m.