Triple
T6867350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary McAfee Atkins |
E158440
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Atkins |
E473070
|
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: Atkins | Statement: [Mary McAfee Atkins, familyName, Atkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atkins Context triple: [Mary McAfee Atkins, familyName, Atkins]
-
A.
Atkins
chosen
Atkins is an English patronymic surname that originated as a diminutive form of the given name Adam.
-
B.
Atkins
Atkins is a popular low-carbohydrate diet and nutrition brand known for its weight-loss programs and packaged food products.
-
C.
Iunet
Iunet is the ancient Egyptian name for the city later known as Dendera, famed for its temple complex dedicated to the goddess Hathor.
-
D.
Thins
Thins is a Dutch family name historically associated with Maria Thins, the wealthy Delft patron and mother-in-law of painter Johannes Vermeer.
-
E.
Dietz
Dietz is a historic town in the German state of Hesse that once served as the political center of the County of Nassau-Dietz.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a5ef848190b6b9a11a3fbdb384 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74292922c8190a0d3ee6f74ff672c |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:21 p.m.