Triple
T5709636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elias Stein |
E125871
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Stephen Wainger
Stephen Wainger is an American mathematician known for his contributions to harmonic analysis and related areas of analysis.
|
E607850
|
NE FINISHED |
How this triple was built (4 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: Stephen Wainger | Statement: [Elias Stein, notableStudent, Stephen Wainger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Wainger Context triple: [Elias Stein, notableStudent, Stephen Wainger]
-
A.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
B.
Joseph Wechsler
Joseph Wechsler was an individual of sufficient local or historical significance to be recognized as a notable burial at Mount Olivet Cemetery in Frederick, Maryland.
-
C.
Jeffrey Lerner
Jeffrey Lerner is a film and television producer known for his work as an executive producer on various projects, including the movie "Watch Over Me."
-
D.
Jay O. Rothman
Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
-
E.
Norm Schachter
Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stephen Wainger Triple: [Elias Stein, notableStudent, Stephen Wainger]
Generated description
Stephen Wainger is an American mathematician known for his contributions to harmonic analysis and related areas of analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Wainger Target entity description: Stephen Wainger is an American mathematician known for his contributions to harmonic analysis and related areas of analysis.
-
A.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
B.
Joseph Wechsler
Joseph Wechsler was an individual of sufficient local or historical significance to be recognized as a notable burial at Mount Olivet Cemetery in Frederick, Maryland.
-
C.
Jeffrey Lerner
Jeffrey Lerner is a film and television producer known for his work as an executive producer on various projects, including the movie "Watch Over Me."
-
D.
Jay O. Rothman
Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
-
E.
Norm Schachter
Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
- F. None of above. chosen
Provenance (5 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248c3dac8190824fca9ddde89665 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e3ff314c8190b66f8b0a7ae3c039 |
completed | March 27, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69c6e7c75140819082a32e4662e0b07c |
completed | March 27, 2026, 8:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e8881b848190bd6184aeaf311d24 |
completed | March 27, 2026, 8:28 p.m. |
Created at: March 22, 2026, 3:46 p.m.