Triple
T11851721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Vaughan Lanchester |
E281923
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lanchester |
E156682
|
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: Lanchester | Statement: [Henry Vaughan Lanchester, familyName, Lanchester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanchester Context triple: [Henry Vaughan Lanchester, familyName, Lanchester]
-
A.
Lanchester
chosen
Lanchester is an English surname most famously associated with actress Elsa Lanchester and several notable British figures in the arts and sciences.
-
B.
Lanchester
Lanchester is a village in County Durham, England, known for its historic parish church and Roman archaeological remains.
-
C.
Almodington
Almodington is a small settlement located on the Manhood Peninsula in West Sussex, England.
-
D.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
E.
Lanc
Lanc is the popular nickname for the Avro Lancaster, a British four‑engined heavy bomber famed for its crucial role in RAF operations during World War II.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a696ee548190800d56c64c339b10 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167b947d48190a07da6f5255d289a |
completed | April 29, 2026, 2:06 a.m. |
Created at: April 8, 2026, 9:43 p.m.