Triple
T22449118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Blackett |
E554941
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Ruth Blackett |
—
|
NE NERFINISHED |
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: Ruth Blackett | Statement: [Nancy Blackett, fullName, Ruth Blackett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Blackett Context triple: [Nancy Blackett, fullName, Ruth Blackett]
-
A.
Peggy Blackett
Peggy Blackett is a spirited and adventurous girl who serves as one of the leaders of the Amazon crew in Arthur Ransome’s classic Swallows and Amazons children’s adventure series.
-
B.
Ruth Batchelor
Ruth Batchelor was an American songwriter, music journalist, and prominent advocate for songwriters’ rights, known for co-founding the Los Angeles Songwriters Showcase.
-
C.
Nancy Blackett
chosen
Nancy Blackett is a bold, imaginative young sailor and the spirited leader of the Amazon pirates in Arthur Ransome’s Swallows and Amazons series.
-
D.
Ruth Gregory
Ruth Gregory is a British theoretical physicist known for her work on cosmology, general relativity, and higher-dimensional gravity.
-
E.
Winifred Watson
Winifred Watson was a British author best known for her 1938 novel "Miss Pettigrew Lives for a Day," which was later adapted for stage and screen.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4a20f8819097f471084e97e099 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.