Triple
T25711240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanny Goodwill |
E644734
|
entity |
| Predicate | hasGuardianOrProtector |
P93049
|
FINISHED |
| Object | Joseph Andrews |
—
|
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: Joseph Andrews | Statement: [Fanny Goodwill, hasGuardianOrProtector, Joseph Andrews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuardianOrProtector Context triple: [Fanny Goodwill, hasGuardianOrProtector, Joseph Andrews]
-
A.
hasGuardianCharacter
chosen
Indicates that one entity serves as a guardian or protective character for another entity.
-
B.
hasGuardianAppointment
Indicates that an entity has a scheduled or established appointment with a designated guardian responsible for their care or representation.
-
C.
hasGuardianReview
Indicates that something has been reviewed or critiqued in a piece published by The Guardian.
-
D.
hasGuardianCommunity
Indicates that an entity is under the protection, oversight, or care of a specific guardian community.
-
E.
hasGuardianFigureType
Indicates the type or role of a guardian figure associated with an 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc157d9c819096b30f09438e351a |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 9:14 p.m.