Triple
T25634593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caddagat |
E642663
|
entity |
| Predicate | isHomeOfCharacter |
P2591
|
FINISHED |
| Object | Sybylla Melvyn’s relatives |
—
|
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: Sybylla Melvyn’s relatives | Statement: [Caddagat, isHomeOfCharacter, Sybylla Melvyn’s relatives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHomeOfCharacter Context triple: [Caddagat, isHomeOfCharacter, Sybylla Melvyn’s relatives]
-
A.
isHomeOf
chosen
Indicates that a place serves as the primary residence or base for a person, group, or organization.
-
B.
worksAtFictionalPlace
Indicates that an entity is employed at or associated with performing work in a fictional or imaginary location.
-
C.
isNamesakeHomeOf
Indicates that a place serves as the home or primary location associated with the person, entity, or concept for which it is named.
-
D.
basedInFictionalLocation
Indicates that an entity’s primary setting, origin, or operations occur in a fictional (non-real) location.
-
E.
isPermanentHomeOf
Indicates that a location serves as the long-term, primary residence for a particular 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa6009b48190a0e1f42da97f8533 |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 5:21 p.m.