Triple
T22864642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Lamy |
E567017
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lamy |
—
|
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: Lamy | Statement: [Alexandra Lamy, familyName, Lamy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamy Context triple: [Alexandra Lamy, familyName, Lamy]
-
A.
Lamy
chosen
Lamy is a French surname most prominently associated with Pascal Lamy, a former Director-General of the World Trade Organization.
-
B.
Rotring
Rotring is a German brand renowned for its high-precision technical drawing instruments and writing tools, including mechanical pencils and technical pens.
-
C.
Montblanc
Montblanc is a luxury German brand renowned for its high-end writing instruments, watches, leather goods, and smartwatches.
-
D.
Pentel
Pentel is a Japanese stationery manufacturer best known for its innovative pens, mechanical pencils, and art supplies used worldwide.
-
E.
Staedtler
Staedtler is a German stationery and writing instruments manufacturer known for its pencils, pens, and technical drawing products.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17effd93081909f2c9a8857a8728b |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.