Triple
T13829124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeYarmond Edison |
E332336
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Joe Westerlund |
E1057564
|
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: Joe Westerlund | Statement: [DeYarmond Edison, hasMember, Joe Westerlund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Westerlund Context triple: [DeYarmond Edison, hasMember, Joe Westerlund]
-
A.
Joe Westerlund
chosen
Joe Westerlund is an American drummer and percussionist best known as a member of the experimental folk band Megafaun.
-
B.
Magnus Westerlund
Magnus Westerlund is a networking and real-time communications expert known for his leadership roles in Internet standards development, particularly within the IETF.
-
C.
John Nordling
John Nordling is a Swedish film producer best known for his work on the acclaimed horror drama "Let the Right One In."
-
D.
Stellan Westerdahl
Stellan Westerdahl is a relatively obscure individual about whom no widely known public information is available.
-
E.
Robert Nilsson
Robert Nilsson is a central fictional figure in the Swedish musical "Kristina från Duvemåla," which is based on Vilhelm Moberg’s epic novels about Swedish emigrants to America.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02970df88190a1bf35dffd131d9d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8ea22c081909cc34f1030a8589b |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.