Triple
T6523829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Stark |
E151251
|
entity |
| Predicate | yearOfSeriesDebut |
P10224
|
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: [Dan Stark, yearOfSeriesDebut, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfSeriesDebut Context triple: [Dan Stark, yearOfSeriesDebut, 2010]
-
A.
firstSeriesYear
chosen
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
B.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
C.
seriesDebutContext
Indicates the context or circumstances under which a series first debuted or was initially introduced.
-
D.
currentSeriesIntroduced
Indicates that an entity was first introduced or appeared in the currently ongoing series or installment of a work.
-
E.
firstAiredWithSeries
Indicates that an episode or installment was originally broadcast as part of the initial airing of a particular series.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad970afc81909d3231203eacf413 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.