Triple
T1431019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Cotton |
E30445
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cotton |
E3906
|
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: Cotton | Statement: [Maria Cotton, familyName, Cotton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cotton Context triple: [Maria Cotton, familyName, Cotton]
-
A.
Cotton
chosen
Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
-
B.
Seaborn Cotton
Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
-
C.
Cotton Caligula A.ix
Cotton Caligula A.ix is a medieval manuscript in the British Library that preserves one of the principal surviving copies of the Middle English poem "The Owl and the Nightingale."
-
D.
Glycine max
Glycine max is the cultivated soybean plant, a major legume crop grown worldwide for its protein- and oil-rich seeds used in food, feed, and industrial products.
-
E.
Cowpe
Cowpe is a small village in Lancashire, England, situated in the Rossendale Valley and known for its rural setting and former textile industry.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4dc3e2081909ff951fe73db277b |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad016bf2608190a675cbd42e474082 |
completed | March 8, 2026, 4:56 a.m. |
Created at: March 1, 2026, 8 p.m.