Triple
T14234908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wolf and the Dragon |
E352851
|
entity |
| Predicate | inUniverseReference |
P113323
|
FINISHED |
| Object | the wolf |
—
|
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: the wolf | Statement: [The Wolf and the Dragon, inUniverseReference, the wolf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseReference Context triple: [The Wolf and the Dragon, inUniverseReference, the wolf]
-
A.
inUniverse
Indicates that one entity exists, occurs, or is set within the fictional or conceptual universe defined by another entity.
-
B.
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.
-
C.
inUniverseRaceOfReferent
Indicates that the referent belongs to, or is a member of, a particular race within a specified fictional or conceptual universe.
-
D.
inUniverseOrigin
Indicates that one entity originates from, or has its source within, the fictional universe or setting defined by another entity.
-
E.
inUniverseAlignmentOfReferent
Indicates that the referent’s alignment or moral/ethical orientation within a fictional or defined universe is being specified or characterized.
- F. None of above. chosen
Provenance (4 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:07 a.m.