Triple
T10718465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Geiger |
E252747
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Tiesto |
E411244
|
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: Tiesto | Statement: [Teddy Geiger, hasCollaboratedWith, Tiesto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiesto Context triple: [Teddy Geiger, hasCollaboratedWith, Tiesto]
-
A.
Tiesto
Tiësto is a Dutch DJ and record producer widely regarded as one of the most influential figures in electronic dance music.
-
B.
Tikkurila
Tikkurila is a major urban district and administrative center in the city of Vantaa, Finland, known for its transport hub, services, and cultural institutions.
-
C.
Hartwall
Hartwall is a Finnish beverage company best known for producing soft drinks, beers, and bottled waters.
-
D.
Sampo
Sampo is a mysterious, magical artifact in Finnish mythology and the national epic Kalevala, often depicted as a mill that produces endless prosperity and good fortune.
-
E.
Tarkett Group
Tarkett Group is a global flooring and sports surfaces company known for producing a wide range of resilient, wood, laminate, and artificial turf solutions for commercial and residential markets.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff36558c81908682adbe7b5dce05 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.