Triple
T970295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crown |
E20928
|
entity |
| Predicate | originallyPlannedSeasons |
P22676
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [The Crown, originallyPlannedSeasons, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyPlannedSeasons Context triple: [The Crown, originallyPlannedSeasons, 6]
-
A.
numberOfSeasons
Indicates the total count of seasons associated with a particular entity (such as a series, competition, or event).
-
B.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
C.
originallyAiredOn
Indicates the date or time when a media work (such as a TV episode, radio show, or broadcast) was first publicly aired.
-
D.
originallyAiredAs
Indicates that one work or episode was first broadcast under a particular title, format, or context.
-
E.
firstAiredInSeason
Indicates the specific season of a series in which an episode or content item was originally first broadcast or released.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4497d688190b59c3a195e377080 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a579888190afb489ac9fe8391c |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.