Triple
T17902923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bon Temps |
E447627
|
entity |
| Predicate | inUniverseProductAssociated |
P62838
|
FINISHED |
| Object | Tru Blood synthetic blood beverage |
—
|
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: Tru Blood synthetic blood beverage | Statement: [Bon Temps, inUniverseProductAssociated, Tru Blood synthetic blood beverage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseProductAssociated Context triple: [Bon Temps, inUniverseProductAssociated, Tru Blood synthetic blood beverage]
-
A.
inUniverseProductType
Indicates that a product belongs to or is categorized within a specific fictional or defined universe or setting.
-
B.
associatedUniverse
Indicates that one entity is linked or belongs to a particular universe, realm, or overarching world context.
-
C.
relatedToProduct
chosen
Indicates a general association or connection between an entity and a specific product, without specifying the exact nature of that relationship.
-
D.
inUniverseType
Indicates that one entity exists within, or is categorized as belonging to, a particular fictional or conceptual universe type defined by the other entity.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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.