Triple
T14601760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dueling Cavalier |
E342720
|
entity |
| Predicate | conversionOutcome |
P57908
|
FINISHED |
| Object | disastrous talking picture |
—
|
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: disastrous talking picture | Statement: [The Dueling Cavalier, conversionOutcome, disastrous talking picture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionOutcome Context triple: [The Dueling Cavalier, conversionOutcome, disastrous talking picture]
-
A.
conversionStatus
chosen
Indicates the current state or outcome of a process in which one entity is transformed, converted, or transitioned into another form or status.
-
B.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
C.
conversionCompleted
Indicates that a previously initiated conversion process has finished successfully.
-
D.
conversionProcess
Indicates a process in which something is transformed or changed from one state, form, or representation into another.
-
E.
conversionUse
Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
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, 1:25 a.m.