Triple
T14780744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tales of Dunk and Egg |
E347381
|
entity |
| Predicate | squireIdentity |
P13264
|
FINISHED |
| Object | prince in disguise |
—
|
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: prince in disguise | Statement: [Tales of Dunk and Egg, squireIdentity, prince in disguise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: squireIdentity Context triple: [Tales of Dunk and Egg, squireIdentity, prince in disguise]
-
A.
subjectIdentity
chosen
Indicates that two or more references correspond to the same underlying entity or individual identity.
-
B.
identityRevealedIn
Indicates that an entity’s true identity becomes known or disclosed within a specified context, source, or situation.
-
C.
knowsSecretIdentityOf
Indicates that one entity is aware of the hidden or private true identity of another entity.
-
D.
identityConcealedBy
Indicates that one entity hides, masks, or obscures the true identity of another entity.
-
E.
publicIdentity
Indicates that an entity’s outward-facing identity or persona is known, presented, or recognized in a public context.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9c7cac8190ba900df95e42e318 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.