Triple
T14750973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bear and the Maiden Fair |
E346602
|
entity |
| Predicate | culturalRoleInFiction |
P48208
|
FINISHED |
| Object | popular tavern song in Westeros |
—
|
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: popular tavern song in Westeros | Statement: [The Bear and the Maiden Fair, culturalRoleInFiction, popular tavern song in Westeros]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalRoleInFiction Context triple: [The Bear and the Maiden Fair, culturalRoleInFiction, popular tavern song in Westeros]
-
A.
fictionalUniverseRole
chosen
Indicates the role or function an entity has within a particular fictional universe or narrative setting.
-
B.
cultRole
Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
-
C.
literaryRole
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
D.
fictionalEthnoCulturalIdentity
Indicates that an entity is associated with an invented or imaginary ethnic or cultural identity, rather than a real-world one.
-
E.
fictionalCharacter
Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.