Triple
T23012998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danica Patrick |
E572956
|
entity |
| Predicate | madeNASCARNationwideDebut |
P150661
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Danica Patrick, madeNASCARNationwideDebut, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeNASCARNationwideDebut Context triple: [Danica Patrick, madeNASCARNationwideDebut, 2010]
-
A.
madeNASCARNationalSeriesDebut
Indicates that an entity participated in its first race in a NASCAR national series.
-
B.
startedNASCARCupSeriesCareer
Indicates that an entity began their professional career in the NASCAR Cup Series.
-
C.
firstNASCARCupSeriesWin
Indicates the event in which an entity (typically a driver) achieves their first victory in a NASCAR Cup Series race.
-
D.
NASCARCupStarts
Indicates the number of times an entity has started or participated in NASCAR Cup Series races.
-
E.
NASCARCupSeriesStarts
Indicates the number of times an entity has started or participated in NASCAR Cup Series races.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e300008190bb12c6388a8b3280 |
completed | April 29, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:51 p.m.