Triple
T19971866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda TT Legends |
E480095
|
entity |
| Predicate | televisionSeriesFocus |
P80359
|
FINISHED |
| Object | endurance racing season |
—
|
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: endurance racing season | Statement: [Honda TT Legends, televisionSeriesFocus, endurance racing season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionSeriesFocus Context triple: [Honda TT Legends, televisionSeriesFocus, endurance racing season]
-
A.
notableSeriesFocus
Indicates that a notable series primarily centers on, highlights, or is thematically focused around a particular subject or entity.
-
B.
seriesFocus
chosen
Indicates that one entity serves as the primary subject, theme, or focal point of a series created, presented, or organized by another entity.
-
C.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
D.
episodeFocusOf
Indicates that a specific episode is the primary subject or focus of another entity, such as a discussion, analysis, or reference.
-
E.
televisionUniverse
Indicates that two entities exist within the same fictional television continuity or shared TV universe.
- F. None of above.
Provenance (3 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc9694881909a31841702ab9e5f |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.