Triple
T36135158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Alucard |
E1045144
|
entity |
| Predicate | seriesNumberInAnnoDracula |
P102560
|
FINISHED |
| Object | fourth book |
—
|
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: fourth book | Statement: [Johnny Alucard, seriesNumberInAnnoDracula, fourth book]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInAnnoDracula Context triple: [Johnny Alucard, seriesNumberInAnnoDracula, fourth book]
-
A.
seriesVolumeNumber
Indicates the specific volume number assigned to an item within an ordered series.
-
B.
seriesNumberInAdaptations
Indicates the position or sequence number that an adaptation occupies within a series of related adaptations.
-
C.
hasNumberOfBooksInSeries
Indicates the quantity of books that belong to a particular series.
-
D.
appearsInBookNumber
Indicates that an entity is featured or mentioned in a specific book identified by its number within a series or collection.
-
E.
seriesNumberOfWorks
chosen
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:08 p.m.