Triple
T10510634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorial Glade |
E247901
|
entity |
| Predicate | hasDesigner |
P184
|
FINISHED |
| Object | Peter Walker |
E222386
|
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: Peter Walker | Statement: [Memorial Glade, hasDesigner, Peter Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Walker Context triple: [Memorial Glade, hasDesigner, Peter Walker]
-
A.
Peter Walker
Peter Walker is an actor known for his role in the film "Valerie."
-
B.
Peter Walker
chosen
Peter Walker is a renowned American landscape architect known for designing prominent public spaces and memorials worldwide.
-
C.
Bob Walker
Bob Walker was an early 20th-century film actor known for appearing in silent-era productions such as the 1915 drama "The Warrens of Virginia."
-
D.
Patrick Walker
Patrick Walker is a voice actor known for his role in the animated film "Cars 2."
-
E.
Robin Walker
Robin Walker was an influential Irish modernist architect best known for his key role in shaping mid-20th-century architecture in Ireland.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b542088190868531f84deaf9e4 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90de6e9508190a1cdf348ec542dd5 |
completed | April 10, 2026, 2:49 p.m. |
Created at: April 6, 2026, 12:27 p.m.