Triple
T34093447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Grape |
E874358
|
entity |
| Predicate | relationshipToGilbert |
P205316
|
FINISHED |
| Object | mother–son relationship central to the novel |
—
|
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: mother–son relationship central to the novel | Statement: [Bonnie Grape, relationshipToGilbert, mother–son relationship central to the novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToGilbert Context triple: [Bonnie Grape, relationshipToGilbert, mother–son relationship central to the novel]
-
A.
relationshipToGilbertOsmond
Indicates the specific type of personal or social relationship that an entity has with Gilbert Osmond.
-
B.
relationshipToJoeGillis
Indicates the specific type of personal or social relationship that one entity has to Joe Gillis.
-
C.
relationshipToGeorgePage
Indicates the specific familial, social, or professional relationship that an entity has to George Page.
-
D.
relationshipToHenry
Indicates the specific type of relationship or connection that an entity has to Henry.
-
E.
relationshipToEliDavid
Indicates the specific familial, professional, or personal relationship that an entity has with Eli David.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:52 a.m.