Triple
T14356174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hella Jongerius |
E355975
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hella
Hella is a Dutch industrial designer renowned for her innovative work in furniture, textiles, and color research.
|
E1095452
|
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: Hella | Statement: [Hella Jongerius, givenName, Hella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hella Context triple: [Hella Jongerius, givenName, Hella]
-
A.
Hella
Hella is a central character in James Baldwin’s novel "Giovanni’s Room," serving as the protagonist’s fiancée and a key figure in exploring themes of sexuality, identity, and societal expectations.
-
B.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
-
C.
Spragga Benz
Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
-
D.
Menzlin
Menzlin is a small locality in northeastern Germany, historically part of Pomerania.
-
E.
Leumann
Leumann is a surname of likely Germanic or Swiss origin borne by individuals such as academic and public figure Christian Leumann.
- 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: Hella Triple: [Hella Jongerius, givenName, Hella]
Generated description
Hella is a Dutch industrial designer renowned for her innovative work in furniture, textiles, and color research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hella Target entity description: Hella is a Dutch industrial designer renowned for her innovative work in furniture, textiles, and color research.
-
A.
Hella
Hella is a central character in James Baldwin’s novel "Giovanni’s Room," serving as the protagonist’s fiancée and a key figure in exploring themes of sexuality, identity, and societal expectations.
-
B.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
-
C.
Spragga Benz
Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
-
D.
Menzlin
Menzlin is a small locality in northeastern Germany, historically part of Pomerania.
-
E.
Leumann
Leumann is a surname of likely Germanic or Swiss origin borne by individuals such as academic and public figure Christian Leumann.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f519bf881908615f4d47e0f77aa |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c473fa48190866ab946971e971c |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4d56b67c8190bc9ecd4f444df780 |
completed | May 8, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4e9a678c8190bd1821e6c43a3a1a |
completed | May 8, 2026, 2:46 a.m. |
Created at: April 10, 2026, 1:15 a.m.