Triple
T25487137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegra Byron |
E638742
|
entity |
| Predicate | placedInConventBy |
P43339
|
FINISHED |
| Object | Lord Byron |
—
|
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: Lord Byron | Statement: [Allegra Byron, placedInConventBy, Lord Byron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placedInConventBy Context triple: [Allegra Byron, placedInConventBy, Lord Byron]
-
A.
enteredConventAt
Indicates the point in time or age at which a person formally joined or was admitted into a convent.
-
B.
enteredConvent
Indicates that a person has joined and been admitted into a religious convent as a member.
-
C.
livedInConvent
Indicates that a person resided in or was housed within a convent for a period of time.
-
D.
foundedAsConventFor
Indicates that an institution or building was originally established specifically to serve as a convent for a particular religious community or group.
-
E.
forcedIntoMonasticLifeBy
chosen
Indicates that one entity compelled another, against their will or under strong pressure, to enter and live a monastic or religious life.
- 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 21, 2026, 2:33 p.m.