Triple
T2556628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niklas Zennström |
E56742
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Joltid |
E277030
|
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: Joltid | Statement: [Niklas Zennström, founded, Joltid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joltid Context triple: [Niklas Zennström, founded, Joltid]
-
A.
Joltid
chosen
Joltid is a software company best known for developing peer-to-peer technologies that underpinned services like Skype.
-
B.
Litovel
Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
-
C.
Jawz
Jawz is the jaguar mascot representing Indiana University–Purdue University Indianapolis (IUPUI) at its athletic events and campus activities.
-
D.
Eidolon
Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
-
E.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd310b3a48190b275be13eb050e57 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af655f72fc81908a85a69f95d0b827 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:48 p.m.