Triple
T35831174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macklyn Warlow |
E1035801
|
entity |
| Predicate | hasVampireTraits |
P115461
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Macklyn Warlow, hasVampireTraits, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVampireTraits Context triple: [Macklyn Warlow, hasVampireTraits, true]
-
A.
hasVampireCharacter
Indicates that an entity includes or features at least one character who is a vampire.
-
B.
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.
-
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.
hasSupportingCharacterTrait
Indicates that a supporting character possesses a particular trait, quality, or characteristic.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.