Triple
T38402610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing Brave |
E900940
|
entity |
| Predicate | racingCareerStartYear |
P190843
|
FINISHED |
| Object | 1985 |
—
|
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: 1985 | Statement: [Dancing Brave, racingCareerStartYear, 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racingCareerStartYear Context triple: [Dancing Brave, racingCareerStartYear, 1985]
-
A.
racingActiveYears
Indicates the span of years during which an entity was actively involved in racing competitions.
-
B.
racingDebut
Indicates the event or moment when an entity first participates in an official race or competitive racing activity.
-
C.
racingCareerEnd
Indicates the point in time or event at which an entity’s participation in racing activities or competitions comes to a permanent end.
-
D.
grandPrixDebutYear
Indicates the year in which an entity first participated in a Grand Prix event.
-
E.
racingSeriesDebut
Indicates the event or point in time at which an entity first participates in a particular racing series.
- 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:31 p.m.