Triple
T16709702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niels Torp |
E406071
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Torp |
E406071
|
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: Torp | Statement: [Niels Torp, familyName, Torp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torp Context triple: [Niels Torp, familyName, Torp]
-
A.
Torp
chosen
Torp is a Norwegian surname most notably associated with architect Niels Torp and several other prominent Norwegian families.
-
B.
Torpids
Torpids is an annual bumps rowing competition held on the River Thames in Oxford, featuring college crews from the University of Oxford.
-
C.
Thorpedo
Thorpedo is the famous nickname of Australian swimming champion Ian Thorpe, highlighting his exceptional speed and dominance in the pool.
-
D.
Zułów
Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
-
E.
Corsair
Corsair is a computer hardware and peripherals company best known for its gaming-focused products such as keyboards, mice, headsets, and PC components.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3865186b48190bb45a761f5cf1a83 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a739308190b4d645e096d1710b |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:20 a.m.