Triple
T32910147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Son of Dracula |
E841850
|
entity |
| Predicate | alternateSpellingInCredits |
P5330
|
FINISHED |
| Object | Son of Dracula (no alternate title) |
—
|
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: Son of Dracula (no alternate title) | Statement: [Son of Dracula, alternateSpellingInCredits, Son of Dracula (no alternate title)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternateSpellingInCredits Context triple: [Son of Dracula, alternateSpellingInCredits, Son of Dracula (no alternate title)]
-
A.
alsoWrittenAs
chosen
Indicates that one entity has an alternative written form, spelling, or notation represented by the other entity.
-
B.
alsoKnownAs
Indicates that one entity is an alternative name, alias, or designation for another entity.
-
C.
nicknameSpellingNote
Indicates that there is a note or clarification about how a nickname is spelled in relation to a given name or entity.
-
D.
haveAlternativeTitle
Indicates that an entity is known by one or more alternative titles or names in addition to its primary title.
-
E.
alternateInterpretationOfTitle
Indicates that one title is an alternative interpretation or reading of another title, reflecting a different way the original title can be understood.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: May 1, 2026, 1:19 a.m.