Triple
T3879443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Menger |
E92584
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Menger |
E199889
|
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: Menger | Statement: [Carl Menger, familyName, Menger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menger Context triple: [Carl Menger, familyName, Menger]
-
A.
Menger
chosen
Menger is a surname most notably associated with Austrian mathematician Karl Menger, known for his work in topology, dimension theory, and the foundations of geometry.
-
B.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
-
C.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
-
D.
Dombrowski
Dombrowski is a surname most prominently associated with Dave Dombrowski, a longtime Major League Baseball executive known for leading multiple franchises to pennants and World Series titles.
-
E.
Milnor
Milnor is the surname of John Milnor, a prominent American mathematician known for his influential work in differential topology, K-theory, and dynamical systems.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec7438808190b6c90fcb3000ebe9 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51253da2081908689f06975fb4db1 |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.