Triple
T5213876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blum |
E117700
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Robert Blum |
E448271
|
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: Robert Blum | Statement: [Blum, hasNotableBearer, Robert Blum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Blum Context triple: [Blum, hasNotableBearer, Robert Blum]
-
A.
Robert Blum
chosen
Robert Blum was the son of French politician and former Prime Minister Léon Blum.
-
B.
Walter Blum
Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
-
C.
Robert Weinbach
Robert Weinbach is a film producer known for his work on independent genre movies, including the 2012 horror film "Shiver."
-
D.
Philip Steuer
Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
-
E.
Walter Blume
Walter Blume was a German aircraft designer and former World War I fighter ace best known for his work on advanced Luftwaffe aircraft during the Second World War.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a911d40819086621537274dc0f0 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1351fb4a88190bb12f3a5f8cd92ac |
completed | March 23, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:47 p.m.