Triple
T34010194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanny the Wonder Dog |
E872088
|
entity |
| Predicate | hasStagePersonaOfOwner |
P38527
|
FINISHED |
| Object | Julian Clary |
—
|
NE NERFINISHED |
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: Julian Clary | Statement: [Fanny the Wonder Dog, hasStagePersonaOfOwner, Julian Clary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStagePersonaOfOwner Context triple: [Fanny the Wonder Dog, hasStagePersonaOfOwner, Julian Clary]
-
A.
hasStageRole
chosen
Indicates that an entity performs or holds a specific role or character in a staged performance or theatrical production.
-
B.
hasPersona
Indicates that an entity possesses or is associated with a particular persona, role, or character profile.
-
C.
hasOwnerTrait
Indicates that an owner possesses or exhibits a specific trait or characteristic.
-
D.
hasOwnerCharacters
Indicates that an entity is associated with one or more characters who own or are responsible for it.
-
E.
hasSiblingPersona
Indicates that one entity has another entity as a sibling persona, representing an alternate or parallel version of the same underlying identity.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff7bc112088190851501fb2a16103d |
completed | May 9, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69ff7b45507c81909753866ad733601a |
completed | May 9, 2026, 6:21 p.m. |
Created at: May 1, 2026, 1:51 a.m.