Triple
T5214914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Dolls |
E117726
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Arthur Kane |
E503739
|
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: Arthur Kane | Statement: [New York Dolls, member, Arthur Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Kane Context triple: [New York Dolls, member, Arthur Kane]
-
A.
Arthur Kane
chosen
Arthur Kane was an American bassist best known as a co-founder of the influential proto-punk band the New York Dolls.
-
B.
Mr. Kane
Mr. Kane is a hip-hop artist who contributed a guest appearance to Snoop Dogg’s album "Paid tha Cost to Be da Boss."
-
C.
Robert Barrat
Robert Barrat was an American character actor known for his supporting roles in numerous Hollywood films from the 1930s through the 1950s.
-
D.
Orlando Murden
Orlando Murden was an American songwriter best known for co-writing the classic soul ballad "For Once in My Life."
-
E.
Michael Cage
Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a928dfc8190971a9e28d5c10446 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef8029cbc8190b0eb4357ff1067d2 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:48 p.m.