Triple
T13304835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirley Bennett |
E316909
|
entity |
| Predicate | limitedOrNoAppearanceInSeason |
P109425
|
FINISHED |
| Object | Season 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: Season 6 | Statement: [Shirley Bennett, limitedOrNoAppearanceInSeason, Season 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: limitedOrNoAppearanceInSeason Context triple: [Shirley Bennett, limitedOrNoAppearanceInSeason, Season 6]
-
A.
visibleInSeason
Indicates that something can be seen or is observable during a particular season.
-
B.
playedOnlyOneSeason
Indicates that the subject participated in exactly one season (e.g., of a league, team, or competition) and no more.
-
C.
occurredInSeason
Indicates that an event or occurrence took place during a specific season within a temporal sequence (such as a TV show season or sports season).
-
D.
guestAppearanceSeason
Indicates the specific season of a series in which an entity makes a guest appearance.
-
E.
seasonAppearance
Indicates that an entity appears in, or is present during, a particular season within a series or sequence.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:28 p.m.