Triple
T15428841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Espen Øino |
E369580
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Oceanco |
E366092
|
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: Oceanco | Statement: [Espen Øino, hasCollaboratedWith, Oceanco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oceanco Context triple: [Espen Øino, hasCollaboratedWith, Oceanco]
-
A.
Speirs + Major
Speirs + Major is a renowned UK-based lighting design practice known for creating innovative architectural and urban lighting schemes for landmark projects worldwide.
-
B.
Loro Piana
Loro Piana is an Italian luxury fashion and textiles brand renowned for its ultra-high-end cashmere and fine wool products.
-
C.
Lürssen
chosen
Lürssen is a renowned German shipyard specializing in the design and construction of luxury superyachts and naval vessels.
-
D.
Max Mara
Max Mara is an Italian luxury fashion house renowned for its high-quality, minimalist womenswear and iconic tailored coats.
-
E.
Lemaire
Lemaire is a French surname borne by various notable figures in fields such as sports, politics, and the arts.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a827d9081909fabc48bc685ba5b |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:20 a.m.