Triple
T3647621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montblanc |
E77338
|
entity |
| Predicate | hasFounder |
P104
|
FINISHED |
| Object | Alfred Nehemias |
E77338
|
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: Alfred Nehemias | Statement: [Montblanc, hasFounder, Alfred Nehemias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfred Nehemias Context triple: [Montblanc, hasFounder, Alfred Nehemias]
-
A.
Alfred Nehemias
chosen
Alfred Nehemias was a co-founder of the luxury writing instrument and accessories brand Montblanc.
-
B.
Ehud Shabtai
Ehud Shabtai is an Israeli software engineer and entrepreneur best known as the co-founder and chief architect of the GPS-based navigation app Waze.
-
C.
Nehemiah
Nehemiah is a biblical figure known for leading the rebuilding of Jerusalem’s walls and instituting religious and social reforms among the returned exiles.
-
D.
Samuel Joseph
Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
-
E.
Abraham Solomon
Abraham Solomon was a 19th-century British painter known for his genre scenes and association with the Victorian art world.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38aa2388190bf1af926375e2433 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f394f9c8190881edc18b544dbb7 |
completed | March 13, 2026, 5:54 p.m. |
Created at: March 8, 2026, 3:24 p.m.