Triple
T10259076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Two Gentlemen of Verona |
E240546
|
entity |
| Predicate | containsDisguiseMotif |
P22080
|
FINISHED |
| Object | female character disguised as a boy |
—
|
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: female character disguised as a boy | Statement: [The Two Gentlemen of Verona, containsDisguiseMotif, female character disguised as a boy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsDisguiseMotif Context triple: [The Two Gentlemen of Verona, containsDisguiseMotif, female character disguised as a boy]
-
A.
usesMasksOrDisguises
chosen
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.
-
B.
disguisedAs
Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
-
C.
isCostumed
Indicates that an entity is wearing or otherwise adorned with a costume.
-
D.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
-
E.
costumeFeatures
Indicates that a costume possesses or includes specific features, attributes, or decorative elements.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:31 a.m.