Triple
T17902911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bon Temps |
E447627
|
entity |
| Predicate | hasFictionalSupernaturalElements |
P13814
|
FINISHED |
| Object | vampires |
—
|
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: vampires | Statement: [Bon Temps, hasFictionalSupernaturalElements, vampires]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalSupernaturalElements Context triple: [Bon Temps, hasFictionalSupernaturalElements, vampires]
-
A.
containsSupernaturalElement
chosen
Indicates that the subject involves or features a supernatural, magical, or otherworldly element beyond normal natural laws.
-
B.
hasFictionalContent
Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
-
C.
hasSupernaturalStatus
Indicates that an entity possesses a status, condition, or role that is beyond or outside normal natural laws (e.g., divine, magical, or otherwise supernatural).
-
D.
hasSupernaturalConnectionWith
Indicates a special, non-natural bond or interaction exists between two entities that involves supernatural forces, powers, or phenomena.
-
E.
hasFictionalScope
Indicates that something pertains to, applies within, or is limited to a fictional or imagined context rather than real-world scope.
- 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.