Triple
T15910273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Meyer |
E385829
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Agnes Meyer |
E796609
|
NE 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: Agnes Meyer | Statement: [Eugene Meyer, child, Agnes Meyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agnes Meyer Context triple: [Eugene Meyer, child, Agnes Meyer]
-
A.
Agnes Ernst Meyer
chosen
Agnes Ernst Meyer was an American journalist, philanthropist, and influential social reform advocate who played a significant role in education and civil rights debates in the mid-20th century.
-
B.
Agnes Harron
Agnes Harron was a member of the Harron family, known primarily as the sister of early American silent film actor Robert Harron.
-
C.
Agnes Burtz
Agnes Burtz was the wife of German philosopher Max Stirner, known primarily through her association with him.
-
D.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
E.
Agnes M. Herzberg
Agnes M. Herzberg is a Canadian statistician known for her contributions to the design of experiments and for her leadership in the international statistics community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565ea7a8819097efffda366b5245 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe6e844481908227ec9e46ac9f4d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.