Triple
T14710749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life and Death: Twilight Reimagined |
E345538
|
entity |
| Predicate | hasWerewolves |
P36903
|
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: [Life and Death: Twilight Reimagined, hasWerewolves, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWerewolves Context triple: [Life and Death: Twilight Reimagined, hasWerewolves, true]
-
A.
hasVampireMaker
Indicates that one entity is the creator or sire who turned another entity into a vampire.
-
B.
hasVampireCharacter
Indicates that an entity includes or features at least one character who is a vampire.
-
C.
hasCreature
chosen
Indicates that one entity possesses, contains, or is associated with a particular creature.
-
D.
hasWildernessCharacter
Indicates that an area possesses qualities or attributes associated with being wild, natural, and largely unaffected by human development or control.
-
E.
hasWarden
Indicates that one entity serves as the warden or supervisory authority responsible for another entity.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.