Triple
T17903005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Compton |
E447629
|
entity |
| Predicate | turnedIntoVampireDuring |
P119476
|
FINISHED |
| Object | American Civil War era |
—
|
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: American Civil War era | Statement: [Bill Compton, turnedIntoVampireDuring, American Civil War era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnedIntoVampireDuring Context triple: [Bill Compton, turnedIntoVampireDuring, American Civil War era]
-
A.
turnedIntoVampireIn
chosen
Indicates that an entity became a vampire at or within a specified place or context.
-
B.
turnedIntoVampireAtAge
Indicates that one entity became a vampire when it reached a specified age.
-
C.
turnedIntoWerewolfBy
Indicates that one entity was transformed into a werewolf as a result of the actions or influence of another entity.
-
D.
ageAtFirstTransformation
Indicates the age an entity was when it underwent its first transformation or change of state.
-
E.
becomesImmortalIn
Indicates that an entity transitions into a state of immortality within a specified context, time, or medium.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e99c3188190aead24cd3d48c7a7 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.