Triple
T26530620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonore |
E670810
|
entity |
| Predicate | hasOccupationInDisguise |
P140052
|
FINISHED |
| Object | assistant to the jailer Rocco |
—
|
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: assistant to the jailer Rocco | Statement: [Leonore, hasOccupationInDisguise, assistant to the jailer Rocco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOccupationInDisguise Context triple: [Leonore, hasOccupationInDisguise, assistant to the jailer Rocco]
-
A.
occupationInDisguise
chosen
Indicates that an entity’s true occupation is being concealed or performed under a false or hidden identity.
-
B.
usesMasksOrDisguises
Indicates that an entity employs masks, costumes, or other forms of disguise to conceal or alter its identity in the context of an action or interaction.
-
C.
disguisedAs
Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
-
D.
usesSuperheroIdentity
Indicates that an entity adopts or operates under a superhero persona or alias, rather than their ordinary identity.
-
E.
unawareOfTrueIdentityOf
Indicates that one entity does not know or recognize the real or actual identity of another entity.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613f746248190b9ef77cb0eece781 |
completed | May 2, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 1:35 a.m.