Triple
T14734366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Eklund |
E346163
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eklund |
E754815
|
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: Eklund | Statement: [Greg Eklund, familyName, Eklund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eklund Context triple: [Greg Eklund, familyName, Eklund]
-
A.
Eklund
chosen
Eklund is a Swedish surname most notably associated with actress and Bond girl Britt Ekland.
-
B.
Åkerlund
Åkerlund is a Swedish surname most notably associated with acclaimed music video and film director Jonas Åkerlund.
-
C.
Ekblom
Ekblom is a surname most notably associated with English actress Annette Ekblom.
-
D.
Eklund-Ward
Eklund-Ward is a compound surname likely of Scandinavian and English origin, combining "Eklund" and "Ward."
-
E.
Anders Nilsson
Anders Nilsson is a Swedish professional ice hockey goaltender known for his standout international play and time in the NHL.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8bcc188190901e3f692fd8fbf9 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.