Triple
T16983567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Hoffman |
E412003
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Alan J. Hoffman |
—
|
NE NERFINISHED |
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: Alan J. Hoffman | Statement: [Alan Hoffman, knownAs, Alan J. Hoffman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan J. Hoffman Context triple: [Alan Hoffman, knownAs, Alan J. Hoffman]
-
A.
Alan Hoffman
chosen
Alan Hoffman is a mathematician known for his contributions to linear algebra and combinatorics, particularly in matrix theory and graph theory.
-
B.
Larry A. Lebofsky
Larry A. Lebofsky is an American astronomer known for his work in planetary science and the study of ring systems around planets.
-
C.
Paul G. Hoffman
Paul G. Hoffman was an American automobile executive and public administrator best known for leading post–World War II European recovery efforts and later serving in prominent roles at the United Nations.
-
D.
Bernard C. Schoenfeld
Bernard C. Schoenfeld was an American screenwriter known for his work on mid-20th-century film noir and crime dramas.
-
E.
Edward A. Garmatz
Edward A. Garmatz was a long-serving U.S. Congressman from Maryland who represented Baltimore in the House of Representatives in the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d188ede48190baead48aac84c78d |
completed | April 18, 2026, 6:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.