Triple
T5709656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elias Stein |
E125871
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object |
Guido Weiss
Guido Weiss was an influential mathematician known for his contributions to harmonic analysis and his collaborative work, including with Elias Stein.
|
E776826
|
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: Guido Weiss | Statement: [Elias Stein, coAuthor, Guido Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guido Weiss Context triple: [Elias Stein, coAuthor, Guido Weiss]
-
A.
Siegfried Weiss
Siegfried Weiss was a German actor known for his roles in mid-20th-century German cinema and theater.
-
B.
Eduard Weiss
Eduard Weiss is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Weiss.
-
C.
Gerhard Weiss
Gerhard Weiss is a German computer scientist known for his contributions to multi-agent systems and artificial intelligence research.
-
D.
Gustav Weiss
Gustav Weiss is a relatively obscure individual whose name is noted primarily as a recorded bearer of the surname Weiss.
-
E.
Bernhard Weiss
Bernhard Weiss was a prominent Jewish German police official and lawyer in Weimar Berlin, known for his staunch opposition to rising Nazism and defense of the republic.
- 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: Guido Weiss Triple: [Elias Stein, coAuthor, Guido Weiss]
Generated description
Guido Weiss was an influential mathematician known for his contributions to harmonic analysis and his collaborative work, including with Elias Stein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guido Weiss Target entity description: Guido Weiss was an influential mathematician known for his contributions to harmonic analysis and his collaborative work, including with Elias Stein.
-
A.
Siegfried Weiss
Siegfried Weiss was a German actor known for his roles in mid-20th-century German cinema and theater.
-
B.
Eduard Weiss
Eduard Weiss is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Weiss.
-
C.
Gerhard Weiss
Gerhard Weiss is a German computer scientist known for his contributions to multi-agent systems and artificial intelligence research.
-
D.
Gustav Weiss
Gustav Weiss is a relatively obscure individual whose name is noted primarily as a recorded bearer of the surname Weiss.
-
E.
Bernhard Weiss
Bernhard Weiss was a prominent Jewish German police official and lawyer in Weimar Berlin, known for his staunch opposition to rising Nazism and defense of the republic.
- 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_69d016a0027c81908d3454447fa461b2 |
completed | April 3, 2026, 7:36 p.m. |
| NEDg | Description generation | batch_69d019059e8481909a696575366aa0b6 |
completed | April 3, 2026, 7:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d019a2736c8190880c8f3786cf353b |
completed | April 3, 2026, 7:48 p.m. |
Created at: March 22, 2026, 3:46 p.m.