Triple
T9349938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ole Henriksen |
E224990
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ole Henriksen |
E224990
|
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: Ole Henriksen | Statement: [Ole Henriksen, name, Ole Henriksen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ole Henriksen Context triple: [Ole Henriksen, name, Ole Henriksen]
-
A.
Ole Henriksen
chosen
Ole Henriksen is a Danish skincare expert and entrepreneur best known for founding his eponymous skincare brand and popularizing spa-inspired, glow-focused beauty products.
-
B.
Henrik Christensen
Henrik Christensen is a prominent robotics researcher and academic known for his influential contributions to computer vision, autonomous systems, and robotics education.
-
C.
Aksel Hennie
Aksel Hennie is a Norwegian actor and filmmaker known internationally for roles in films such as "Headhunters" and the sci-fi drama "The Martian."
-
D.
Thor Gundersen
Thor Gundersen, known as "The Swede," is a central antagonist in the television series Hell on Wheels, portrayed as a ruthless and manipulative former Union Army quartermaster.
-
E.
Ove Nielsen
Ove Nielsen was a Danish maritime administrator who became the inaugural Secretary-General of the International Maritime Organization, helping to shape the early framework of global maritime regulation.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f1198b88190adc0b01f7c1be36e |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3ca79e88190ba3a2cfb3bcf7d4f |
completed | April 4, 2026, 11:19 a.m. |
Created at: March 30, 2026, 7:41 p.m.