Triple
T4361813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philhellenes |
E98676
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Müller |
unclear NED1
|
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: Müller | Statement: [Philhellenes, hasNotableMember, Müller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Müller Context triple: [Philhellenes, hasNotableMember, Müller]
-
A.
Müller
Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
-
B.
Bamba Müller
Bamba Müller was the German-Ethiopian wife of Maharaja Duleep Singh, the last Maharaja of the Sikh Empire, and mother of several of his children in exile in Britain.
-
C.
Mölders
Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
-
D.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
E.
Mieresch
Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e47d388190b31500189577cd75 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbc357988190a2982a86847e2c42 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.