Triple
T32932895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House on the Cliff |
E842443
|
entity |
| Predicate | hasClimacticLocation |
P81796
|
FINISHED |
| Object | cliffside mansion |
—
|
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: cliffside mansion | Statement: [The House on the Cliff, hasClimacticLocation, cliffside mansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClimacticLocation Context triple: [The House on the Cliff, hasClimacticLocation, cliffside mansion]
-
A.
climaxLocation
chosen
Indicates the place or setting where the most intense or pivotal moment of an event, narrative, or process occurs.
-
B.
hasClimaxAt
Indicates that an event, narrative, or process reaches its most intense or decisive point at a specified time, place, or segment.
-
C.
climacticAct
Indicates the pivotal or most intense action or event that serves as the climax within a sequence or narrative.
-
D.
climacticAppearance
Indicates the moment when an entity makes a decisive or peak dramatic appearance at or near the climax of an event or narrative.
-
E.
climaxEvents
Indicates that the related events represent the peak or most intense turning point within a larger sequence or narrative.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 1, 2026, 1:20 a.m.