Triple
T25829957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bubba Ho-Tep |
E650634
|
entity |
| Predicate | hasSequelProject |
P25727
|
FINISHED |
| Object | Bubba Nosferatu and the Curse of the She-Vampires (planned) |
—
|
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: Bubba Nosferatu and the Curse of the She-Vampires (planned) | Statement: [Bubba Ho-Tep, hasSequelProject, Bubba Nosferatu and the Curse of the She-Vampires (planned)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSequelProject Context triple: [Bubba Ho-Tep, hasSequelProject, Bubba Nosferatu and the Curse of the She-Vampires (planned)]
-
A.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
B.
hasSequelPiece
Indicates that one creative work is a subsequent installment or continuation that follows another work in a series.
-
C.
hasSequelType
Indicates that one work has a sequel of a specified type or category in relation to another work.
-
D.
hasSequelInDevelopment
chosen
Indicates that a work has a follow-up installment currently being planned, produced, or otherwise developed but not yet released.
-
E.
hasSequelNumber
Indicates that an entity is followed by another work in a series identified by a specific sequential number.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 22, 2026, 7:38 a.m.