Triple
T19889107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilate’s wife |
E477980
|
entity |
| Predicate | certaintyOfBiographicalDetails |
P44752
|
FINISHED |
| Object | low |
—
|
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: low | Statement: [Pilate’s wife, certaintyOfBiographicalDetails, low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certaintyOfBiographicalDetails Context triple: [Pilate’s wife, certaintyOfBiographicalDetails, low]
-
A.
hasUncertainBiographicalDetails
chosen
Indicates that the biographical information about an entity is incomplete, ambiguous, or not reliably established.
-
B.
chronologyCertainty
Indicates the degree of confidence or uncertainty about the ordering or dating of events or temporal relationships.
-
C.
hasWidelyDocumentedBiography
Indicates that extensive, reliable biographical information about the entity has been widely recorded and made publicly available.
-
D.
hasBiographicalTheme
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
-
E.
isBiographerOf
Indicates that one person has written a biography about another person.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590c1b9c8190abbfaa04b80713b3 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.