Triple
T14384742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gankutsuou: The Count of Monte Cristo |
E356693
|
entity |
| Predicate | seriesCompositionBy |
P40489
|
FINISHED |
| Object | Shōji Yonemura |
—
|
NE NERFINISHED |
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: Shōji Yonemura | Statement: [Gankutsuou: The Count of Monte Cristo, seriesCompositionBy, Shōji Yonemura]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesCompositionBy Context triple: [Gankutsuou: The Count of Monte Cristo, seriesCompositionBy, Shōji Yonemura]
-
A.
seriesBy
chosen
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
B.
seriesStructure
Indicates how parts or installments are organized and related within a larger series or sequence.
-
C.
hornComposition
Indicates the material or substance that an entity’s horn is made of.
-
D.
specialComposition
Indicates that one entity is composed of another in a distinctive or non-standard way, highlighting a particular or exceptional form of composition between them.
-
E.
partOfComposerOeuvre
Indicates that a musical work belongs to and is included within the overall body of compositions created by a particular composer.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.