Triple
T7322304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Norton Lee |
E168779
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Margaret A. Merritt |
E774971
|
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: Margaret A. Merritt | Statement: [Janet Norton Lee, mother, Margaret A. Merritt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret A. Merritt Context triple: [Janet Norton Lee, mother, Margaret A. Merritt]
-
A.
Margaret A. Merritt
chosen
Margaret A. Merritt was an American woman best known as the mother of Janet Lee Bouvier, making her the maternal grandmother of Jacqueline Kennedy Onassis.
-
B.
Margaret Davenport
Margaret Davenport is the mother of American actor Emile Hirsch.
-
C.
Margaret Whitmore
Margaret Whitmore is best known as the wife of American physician-turned-thriller novelist Robin Cook.
-
D.
Margaret Cox
Margaret Cox is known as the daughter of British physicist and science communicator Brian Cox.
-
E.
Mary E. Pennington
Mary E. Pennington was the first wife of American novelist John Updike, whom he married in 1953 and with whom he had four children before their divorce in the 1970s.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0446628819093e96236f1aa4a9b |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c66e7c208190ac3cc8ace77c75e5 |
completed | April 4, 2026, 8:06 a.m. |
Created at: March 27, 2026, 3:03 p.m.