Triple
T31527252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | publication of My Mother’s Keeper in 1985 |
E804379
|
entity |
| Predicate | receivedReactionFrom |
P101891
|
FINISHED |
| Object | Bette Davis |
—
|
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: Bette Davis | Statement: [publication of My Mother’s Keeper in 1985, receivedReactionFrom, Bette Davis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedReactionFrom Context triple: [publication of My Mother’s Keeper in 1985, receivedReactionFrom, Bette Davis]
-
A.
receivedReaction
chosen
Indicates that an entity has been the target of a reaction or response from another entity.
-
B.
receivedRuleFrom
Indicates that one entity has obtained or been given a rule from another entity.
-
C.
receivedSupportFrom
Indicates that one entity obtained help, resources, or backing from another entity.
-
D.
receivedPromiseAbout
Indicates that one entity has been given an assurance or commitment concerning another entity or event by some source.
-
E.
receivedMarkFrom
Indicates that one entity has been given or assigned a mark, grade, or score by another entity.
- 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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 30, 2026, 9:59 p.m.