Triple
T14594642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artie (The Larry Sanders Show) |
E342525
|
entity |
| Predicate | primaryLocationWithinStory |
P98527
|
FINISHED |
| Object | backstage offices |
—
|
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: backstage offices | Statement: [Artie (The Larry Sanders Show), primaryLocationWithinStory, backstage offices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLocationWithinStory Context triple: [Artie (The Larry Sanders Show), primaryLocationWithinStory, backstage offices]
-
A.
homeLocationInStory
chosen
Indicates the place that serves as a character’s primary home or base of residence within the context of the story.
-
B.
locationOfNarrative
Indicates the place or setting where the events or story described in the narrative occur.
-
C.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
D.
narrativeLocationType
Indicates the type or role of a location within the structure or context of a narrative (e.g., setting, origin, destination).
-
E.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43480d8819084a707e56da2c237 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:24 a.m.