Triple
T9665726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. H. Davies |
E233698
|
entity |
| Predicate | hasPoem |
P21160
|
FINISHED |
| Object | Leisure |
E814224
|
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: Leisure | Statement: [W. H. Davies, hasPoem, Leisure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leisure Context triple: [W. H. Davies, hasPoem, Leisure]
-
A.
Leisure
Leisure is a common English surname borne by various individuals, including American actor David Leisure.
-
B.
Leisure
chosen
"Leisure" is a well-known reflective poem by Welsh poet W. H. Davies that meditates on the importance of slowing down to appreciate the natural world.
-
C.
Travel + Leisure
Travel + Leisure is a prominent American travel magazine and media brand known for its destination guides, hotel and airline rankings, and lifestyle travel content.
-
D.
Freedom Leisure
Freedom Leisure is a UK-based not-for-profit leisure trust that manages and operates community leisure centres and sports facilities on behalf of local authorities.
-
E.
Sports et divertissements
Sports et divertissements is a 1914 collection of short piano pieces by Erik Satie that whimsically portrays various sports and leisure activities, often accompanied by humorous texts and illustrations.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c38f65c8190a0ed20830249a0f1 |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190f691c8819093fe133bdbe1c9d1 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:14 p.m.