Triple
T15727626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Lonsdale Elmes |
E381257
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Elmes |
E1115381
|
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: Elmes | Statement: [Harvey Lonsdale Elmes, familyName, Elmes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmes Context triple: [Harvey Lonsdale Elmes, familyName, Elmes]
-
A.
Elmes
chosen
Elmes is a surname most notably associated with Frederick Elmes, an acclaimed American cinematographer known for his work on influential independent and art-house films.
-
B.
Ewelme
Ewelme is a historic village in Oxfordshire, England, noted for its medieval church, almshouses, and picturesque rural setting.
-
C.
Galfard
Galfard is the surname of Christophe Galfard, a French theoretical physicist and science communicator known for his popular science books.
-
D.
Umberleigh
Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
-
E.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb4cc0081909efe330339474017 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82faa5508190a28e2a224d4a4a06 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.