Triple
T8578514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Mosteller |
E203108
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mosteller |
E203108
|
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: Mosteller | Statement: [Fred Mosteller, familyName, Mosteller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mosteller Context triple: [Fred Mosteller, familyName, Mosteller]
-
A.
Fred Mosteller
chosen
Fred Mosteller was an influential American statistician and educator known for his pioneering work in mathematical statistics, statistics education, and applications of statistics to public policy and medicine.
-
B.
Edward R. Tufte
Edward R. Tufte is an American statistician, political scientist, and pioneer in data visualization best known for his influential books on the visual display of quantitative information.
-
C.
Hartigan
Hartigan is a surname most notably associated with Grace Hartigan, a prominent American Abstract Expressionist painter.
-
D.
Henry H. Roser
Henry H. Roser was a political figure in early 20th-century California who ran unsuccessfully for governor in the 1922 state election.
-
E.
Tukey
Tukey is the surname of John W. Tukey, a prominent American statistician known for pioneering exploratory data analysis and coining the term "bit."
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea989bec81909b8c8b4af7c568ff |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89a5d18c81908a21cf5e5944d6e1 |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:22 p.m.