Triple
T12377515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoefnagel family |
E295161
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Hoefnagels
Hoefnagels is a variant spelling of the Dutch surname Hoefnagel, historically associated with a family of artists and craftsmen.
|
E977822
|
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: Hoefnagels | Statement: [Hoefnagel family, hasVariantSpelling, Hoefnagels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoefnagels Context triple: [Hoefnagel family, hasVariantSpelling, Hoefnagels]
-
A.
Henniez
Henniez is a small municipality in the canton of Vaud, Switzerland, best known for its natural mineral water brand of the same name.
-
B.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
C.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
D.
Minkels
Minkels is a data center infrastructure brand known for its modular server racks, cooling solutions, and cable management systems, now part of the Legrand group.
-
E.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
- 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: Hoefnagels Triple: [Hoefnagel family, hasVariantSpelling, Hoefnagels]
Generated description
Hoefnagels is a variant spelling of the Dutch surname Hoefnagel, historically associated with a family of artists and craftsmen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoefnagels Target entity description: Hoefnagels is a variant spelling of the Dutch surname Hoefnagel, historically associated with a family of artists and craftsmen.
-
A.
Henniez
Henniez is a small municipality in the canton of Vaud, Switzerland, best known for its natural mineral water brand of the same name.
-
B.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
C.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
D.
Minkels
Minkels is a data center infrastructure brand known for its modular server racks, cooling solutions, and cable management systems, now part of the Legrand group.
-
E.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fb8d6c081909e8bbbd52c73f29c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac3c9f081909cd55f966ab6b465 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62c57a26081908d6903906f6e04f0 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:54 p.m.