Triple
T3106451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nora Barlow |
E64840
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Emma Darwin |
E7447
|
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: Emma Darwin | Statement: [Nora Barlow, notableRelative, Emma Darwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Darwin Context triple: [Nora Barlow, notableRelative, Emma Darwin]
-
A.
Emma Darwin
chosen
Emma Darwin was an English woman best known as the devoted wife and first cousin of naturalist Charles Darwin, who supported his scientific work and managed their large family.
-
B.
Marianne Darwin
Marianne Darwin was a member of the Darwin family and one of the siblings in the generation that included naturalist Charles Darwin.
-
C.
Anne Darwin
Anne Darwin is a British woman known for her involvement in the high-profile "canoe man" insurance fraud case alongside her husband, John Darwin.
-
D.
Mary Eleanor Darwin
Mary Eleanor Darwin was one of the daughters of naturalist Charles Darwin and his wife Emma, who died in early childhood.
-
E.
Sarah Darwin
Sarah Darwin is a British evolutionary biologist and science communicator, and a descendant of naturalist Charles Darwin.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29beff08190b6e1eb6b0608d0eb |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224c4e59c819084a3aa19824c1621 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.