Triple
T21246257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rothermere family |
E523616
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harmsworth |
—
|
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: Harmsworth | Statement: [Rothermere family, familyName, Harmsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harmsworth Context triple: [Rothermere family, familyName, Harmsworth]
-
A.
Harmsworth
chosen
Harmsworth is a British surname most notably associated with Alfred Harmsworth, the influential newspaper magnate and pioneer of modern popular journalism.
-
B.
Southam
Southam is a small historic market town in Warwickshire, England, known for its medieval origins and location near the River Stowe.
-
C.
Harcout
Harcourt is a small rural town in central Victoria, Australia, known historically for its apple orchards and granite quarries.
-
D.
Kemsley
Kemsley is a residential suburb and industrial area on the northern edge of Sittingbourne in Kent, England.
-
E.
Sampson Low
Sampson Low was a prominent 19th-century British publishing house known for producing popular literature, children's books, and notable authors' works.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73599e5548190ad70d2c2bfa9e919 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:51 p.m.