Triple
T31259391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homer Wells |
E797074
|
entity |
| Predicate | raisedByInstitution |
P171513
|
FINISHED |
| Object | orphanage |
—
|
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: orphanage | Statement: [Homer Wells, raisedByInstitution, orphanage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raisedByInstitution Context triple: [Homer Wells, raisedByInstitution, orphanage]
-
A.
promotedByInstitution
Indicates that an institution advances, supports, or publicizes something, contributing to its recognition, adoption, or success.
-
B.
influencedInstitution
Indicates that one entity has had a shaping or affecting impact on the development, policies, direction, or character of an institution.
-
C.
sponsoringInstitution
Indicates that an institution provides financial or organizational support to enable or underwrite an activity, project, event, or entity.
-
D.
inInstitution
Indicates that an entity is located within, belongs to, or is formally associated with a particular institution.
-
E.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
- F. None of above. chosen
Provenance (4 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:12 p.m.