Triple
T9404380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clock Scene |
E226547
|
entity |
| Predicate | dramaticClimaxOf |
P46055
|
FINISHED |
| Object | Boris’s inner conflict in Boris Godunov |
—
|
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: Boris’s inner conflict in Boris Godunov | Statement: [Clock Scene, dramaticClimaxOf, Boris’s inner conflict in Boris Godunov]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dramaticClimaxOf Context triple: [Clock Scene, dramaticClimaxOf, Boris’s inner conflict in Boris Godunov]
-
A.
typeOfClimax
Indicates the specific kind or category of climax that characterizes an event, narrative, or process.
-
B.
hasClimaxAt
chosen
Indicates that an event, narrative, or process reaches its most intense or decisive point at a specified time, place, or segment.
-
C.
isCulminatingEventOf
Indicates that an event represents the final or peak outcome within a larger process, sequence, or series of related events.
-
D.
dramaticTheme
Indicates that a work, scene, or narrative centers around a particular dramatic subject, motif, or emotional conflict as its main thematic focus.
-
E.
hasDramaticElements
Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c125dc8190a6438cf0ee23e7a9 |
completed | April 1, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:46 p.m.