Triple
T21899361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Kennard |
E540765
|
entity |
| Predicate | centralToStoryline |
P4751
|
FINISHED |
| Object | The L Word main ensemble |
—
|
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: The L Word main ensemble | Statement: [Tina Kennard, centralToStoryline, The L Word main ensemble]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralToStoryline Context triple: [Tina Kennard, centralToStoryline, The L Word main ensemble]
-
A.
narrativelyCenteredIn
Indicates that an event, character, or element is positioned as the primary focus or organizing center of a narrative within a given context.
-
B.
centralIn
chosen
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
C.
centralToSeries
Indicates that something is a core or defining element around which a series is organized or structured.
-
D.
centralScene
Indicates that one scene functions as the main or focal scene within a larger narrative, sequence, or composition.
-
E.
centralToCultureOf
Indicates that something is a core, defining, and influential element within the culture of a particular group or society.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc8c2108190b55ff1ba3badc9fb |
completed | April 28, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:07 p.m.