Triple
T8243547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Breathing Method |
E192793
|
entity |
| Predicate | frameNarrativeLocation |
P9801
|
FINISHED |
| Object | exclusive New York gentlemen’s club |
—
|
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: exclusive New York gentlemen’s club | Statement: [The Breathing Method, frameNarrativeLocation, exclusive New York gentlemen’s club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameNarrativeLocation Context triple: [The Breathing Method, frameNarrativeLocation, exclusive New York gentlemen’s club]
-
A.
locationOfNarrative
chosen
Indicates the place or setting where the events or story described in the narrative occur.
-
B.
narrativeLocationType
Indicates the type or role of a location within the structure or context of a narrative (e.g., setting, origin, destination).
-
C.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
D.
narrativeLocationRelativeToCamelot
Indicates the spatial or contextual position of a narrative’s events relative to Camelot.
-
E.
setInFictionalLocation
Indicates that an event, story, or narrative takes place within a fictional or imagined location rather than a real-world setting.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb786f65708190a92ec282b280c813 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.