Triple
T5382527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butler |
E113121
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Richard Butler |
E113122
|
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: Richard Butler | Statement: [Butler, namedAfter, Richard Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Butler Context triple: [Butler, namedAfter, Richard Butler]
-
A.
Richard Butler
chosen
Richard Butler was an American Revolutionary War officer and frontiersman whose military service on the early western frontier led to several U.S. counties being named in his honor.
-
B.
Richard Butler
Richard Butler is an Australian diplomat best known for leading United Nations weapons inspection efforts in Iraq during the late 1990s.
-
C.
Richard Butler Jr.
Richard Butler Jr. is a songwriter best known for co-writing the hit song "Just a Dream."
-
D.
Alan Wilson
Alan Wilson is a renowned motorsports circuit designer known for creating several modern racetracks around the world.
-
E.
Ian Reed
Ian Reed is a colleague of the fictional London detective John Luther in the British crime drama series "Luther."
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86d163f88190939638d44fcb24a7 |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf335661c8819091058a5275b95284 |
completed | March 22, 2026, 12:09 a.m. |
Created at: March 20, 2026, 2:03 p.m.