Triple
T13964614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudge |
E335890
|
entity |
| Predicate | fatherConnection |
P89441
|
FINISHED |
| Object | school benefactor |
—
|
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: school benefactor | Statement: [Rudge, fatherConnection, school benefactor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatherConnection Context triple: [Rudge, fatherConnection, school benefactor]
-
A.
fatherFrom
Indicates a parental relationship where one entity is the biological or legal father of another entity.
-
B.
fatherPosition
Indicates the spatial or positional relationship occupied by a father relative to another referenced entity or location.
-
C.
motherFather
Indicates that the two entities are the biological parents (mother and father) of a child or offspring.
-
D.
fatherWas
Indicates that one entity was the male parent (father) of another entity in the past.
-
E.
familyConnectionTo
chosen
Indicates a familial relationship or bond that exists between two entities, such as by blood, marriage, or adoption.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7e24f08190ba939a8044860033 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.