Triple
T34252918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grandma Moses |
E878796
|
entity |
| Predicate | knownForLateLifeCareer |
P69427
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Grandma Moses, knownForLateLifeCareer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForLateLifeCareer Context triple: [Grandma Moses, knownForLateLifeCareer, true]
-
A.
nowKnownFor
Indicates that an entity is currently recognized or notable for a particular role, attribute, achievement, or association.
-
B.
formerlyKnownFor
Indicates that an entity was previously recognized or notable for a particular role, attribute, or activity, but is no longer primarily associated with it.
-
C.
spentLaterLifeAt
Indicates that an individual resided, worked, or was primarily based at a particular place during the later period of their life.
-
D.
alsoKnownFor
Indicates that an entity is additionally recognized or noted for another work, role, achievement, or characteristic beyond its primary association.
-
E.
laterKnownFor
chosen
Indicates that an entity became recognized or notable for something at a later time than the context or event currently being referred to.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: May 1, 2026, 1:56 a.m.