Triple
T24325995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letter from an Unknown Woman |
E613100
|
entity |
| Predicate | closingMotif |
P155731
|
FINISHED |
| Object | duel |
—
|
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: duel | Statement: [Letter from an Unknown Woman, closingMotif, duel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closingMotif Context triple: [Letter from an Unknown Woman, closingMotif, duel]
-
A.
closingPosition
Indicates that an entity terminates, finalizes, or brings to an end the position or state of another entity.
-
B.
closingTheme
Indicates that one entity serves as the ending or closing theme (such as a song or musical piece) associated with another entity, typically a media work or episode.
-
C.
closingStimulus
Indicates that one entity serves as the stimulus or trigger that causes another entity to close or become closed.
-
D.
closingSituation
Indicates a situation or context in which an interaction, event, or process is coming to an end or being brought to a close.
-
E.
closingOutcome
Indicates the result or consequence that follows from a closing action or the completion of a closure process between entities.
- F. None of above. chosen
Provenance (4 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292edb6f481909f0a6a7592fd7d6a |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:54 a.m.