Triple
T13009327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pascal Lamy |
E322367
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lamy |
E322367
|
NE FINISHED |
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: [Pascal Lamy, familyName, Lamy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamy Context triple: [Pascal 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.
Paper Mate
Paper Mate is a well-known brand of writing instruments, particularly pens and pencils, recognized for everyday school, office, and home use.
-
E.
Pensil
Pensil is a neighborhood located within the Miguel Hidalgo borough of Mexico City, Mexico.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9cf0108190b02f498c6ccc91f8 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c10bb13481909650432d5c1f5872 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:48 p.m.