Triple
T13460485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasa (warship) |
E311349
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
Henrik Hybertsson
Henrik Hybertsson was a 17th-century Dutch-born master shipbuilder best known for designing the Swedish warship Vasa.
|
E1069410
|
NE FINISHED |
How this triple was built (4 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: Henrik Hybertsson | Statement: [Vasa (warship), designer, Henrik Hybertsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henrik Hybertsson Context triple: [Vasa (warship), designer, Henrik Hybertsson]
-
A.
Johan Zachrisson
Johan Zachrisson is a Swedish musician and producer best known as the father of singer-songwriter Lykke Li.
-
B.
Henrik Wigström
Henrik Wigström was a renowned Finnish-born Russian goldsmith best known as one of the leading workmasters for the House of Fabergé, creating many of its famous jeweled eggs and luxury objects.
-
C.
Ingemund Bengtsson
Ingemund Bengtsson was a Swedish Social Democratic politician who served in several ministerial posts and later as Speaker of the Riksdag.
-
D.
Gunnar Edström
Gunnar Edström is a notable individual recognized for bearing the Swedish surname Edström.
-
E.
Olof Andersson
Olof Andersson is a notable individual distinguished enough to be recognized as a prominent bearer of the Swedish surname Andersson.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Henrik Hybertsson Triple: [Vasa (warship), designer, Henrik Hybertsson]
Generated description
Henrik Hybertsson was a 17th-century Dutch-born master shipbuilder best known for designing the Swedish warship Vasa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henrik Hybertsson Target entity description: Henrik Hybertsson was a 17th-century Dutch-born master shipbuilder best known for designing the Swedish warship Vasa.
-
A.
Johan Zachrisson
Johan Zachrisson is a Swedish musician and producer best known as the father of singer-songwriter Lykke Li.
-
B.
Henrik Wigström
Henrik Wigström was a renowned Finnish-born Russian goldsmith best known as one of the leading workmasters for the House of Fabergé, creating many of its famous jeweled eggs and luxury objects.
-
C.
Ingemund Bengtsson
Ingemund Bengtsson was a Swedish Social Democratic politician who served in several ministerial posts and later as Speaker of the Riksdag.
-
D.
Gunnar Edström
Gunnar Edström is a notable individual recognized for bearing the Swedish surname Edström.
-
E.
Olof Andersson
Olof Andersson is a notable individual distinguished enough to be recognized as a prominent bearer of the Swedish surname Andersson.
- F. None of above. chosen
Provenance (5 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0c177081909178dec61b09c278 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce5ecad88190b7c8236969d9abc7 |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f7cef1ec7c8190aabca09b8bf92202 |
completed | May 3, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7cf4bbb308190943a1a06715ff0a0 |
completed | May 3, 2026, 10:42 p.m. |
Created at: April 9, 2026, 9:41 p.m.