Triple
T18195017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasselblad Center |
E435637
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Hasselblad |
—
|
NE NERFINISHED |
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: Hasselblad | Statement: [Hasselblad Center, namedAfter, Hasselblad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasselblad Context triple: [Hasselblad Center, namedAfter, Hasselblad]
-
A.
Hasselblad (camera manufacturer)
chosen
Hasselblad is a renowned Swedish manufacturer of high-end medium format cameras and lenses, celebrated for their use in professional photography and on NASA space missions.
-
B.
Leica Camera AG
Leica Camera AG is a renowned German manufacturer of premium cameras and sport optics, celebrated for its precision engineering and iconic photographic equipment.
-
C.
Nikon
Nikon was a 17th-century Patriarch of Moscow and All Russia known for initiating major liturgical reforms that led to the Raskol (schism) in the Russian Orthodox Church.
-
D.
Nikon
Nikon is a figure associated with the Telchines, a group of mythical craftsmen and sorcerers from ancient Greek mythology.
-
E.
Fujifilm
Fujifilm is a Japanese multinational company best known for its photographic film, digital imaging products, and diversified technologies in healthcare and printing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d1eb1c81908c20b6d15e9c4e8e |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.