Triple
T30575927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Pitt as Louis de Pointe du Lac |
E778243
|
entity |
| Predicate | hasVampiricAbility |
P115461
|
FINISHED |
| Object | immortality |
—
|
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: immortality | Statement: [Brad Pitt as Louis de Pointe du Lac, hasVampiricAbility, immortality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVampiricAbility Context triple: [Brad Pitt as Louis de Pointe du Lac, hasVampiricAbility, immortality]
-
A.
vampireAbility
chosen
Indicates that one entity possesses a supernatural power or trait specifically associated with being a vampire in relation to another entity or context.
-
B.
hasVampireCharacter
Indicates that an entity includes or features at least one character who is a vampire.
-
C.
hasVampireMaker
Indicates that one entity is the creator or sire who turned another entity into a vampire.
-
D.
vampireType
Indicates that one entity is classified as a specific type or category of vampire in relation to another entity.
-
E.
isUndead
Indicates that an entity is no longer living in a natural sense but continues to exist through supernatural or unnatural means.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:22 p.m.