Triple
T4555876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyra Sedgwick as Brenda Leigh Johnson |
E120475
|
entity |
| Predicate | numberOfSeasonsInSeries |
P2652
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Kyra Sedgwick as Brenda Leigh Johnson, numberOfSeasonsInSeries, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSeasonsInSeries Context triple: [Kyra Sedgwick as Brenda Leigh Johnson, numberOfSeasonsInSeries, 7]
-
A.
numberOfSeasons
chosen
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.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
D.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
-
E.
originallyPlannedSeasons
Indicates the number of seasons that were initially intended or scheduled for a series or show before any later changes or extensions.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5814f56c8190a65f61f6148b7e5a |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd5223423c81908317351b58cff5f5 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.