Triple
T11661557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Browne Blackwell |
E277131
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Blackwell |
E490612
|
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: Blackwell | Statement: [Henry Browne Blackwell, familyName, Blackwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blackwell Context triple: [Henry Browne Blackwell, familyName, Blackwell]
-
A.
Blackwell
chosen
Blackwell is a surname of English origin borne by numerous notable individuals across fields such as music, politics, and academia.
-
B.
Harcout
Harcourt is a small rural town in central Victoria, Australia, known historically for its apple orchards and granite quarries.
-
C.
Bloomsbury
Bloomsbury is a central London district renowned for its literary heritage, academic institutions, and garden squares.
-
D.
Rowledge
Rowledge is a village on the outskirts of Farnham in Surrey, England, known for its residential character and proximity to the Surrey-Hampshire border.
-
E.
Camden House
Camden House is a teaching and administrative building that forms part of the University College Birmingham city-centre campus.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d29fdc8190af46b6e2badb1df5 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee882dbf2481909ffcae5f80cd494f |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.