Triple
T3250462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weiss |
E68163
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
John Weiss
John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
|
E362856
|
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: John Weiss | Statement: [Weiss, hasNotableBearer, John Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Weiss Context triple: [Weiss, hasNotableBearer, John Weiss]
-
A.
Robert K. Weiss
Robert K. Weiss is an American film and television producer best known for his work on comedy projects such as "The Naked Gun" series and collaborations with the Zucker brothers.
-
B.
Sherman Weissman
Sherman Weissman is an American geneticist known for his pioneering work in molecular genetics and his long-standing research and teaching career at Yale School of Medicine.
-
C.
Stanley Weiser
Stanley Weiser is an American screenwriter best known for co-writing the film "Wall Street," which introduced the iconic character Gordon Gekko.
-
D.
Daniel H. Weiss
Daniel H. Weiss is an American art historian and academic leader who served as president and CEO of New York’s Metropolitan Museum of Art.
-
E.
David Weisberg
David Weisberg is a screenwriter best known for co-writing the action film "The Rock" and other Hollywood thrillers.
- 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: John Weiss Triple: [Weiss, hasNotableBearer, John Weiss]
Generated description
John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Weiss Target entity description: John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
-
A.
Robert K. Weiss
Robert K. Weiss is an American film and television producer best known for his work on comedy projects such as "The Naked Gun" series and collaborations with the Zucker brothers.
-
B.
Sherman Weissman
Sherman Weissman is an American geneticist known for his pioneering work in molecular genetics and his long-standing research and teaching career at Yale School of Medicine.
-
C.
Stanley Weiser
Stanley Weiser is an American screenwriter best known for co-writing the film "Wall Street," which introduced the iconic character Gordon Gekko.
-
D.
Daniel H. Weiss
Daniel H. Weiss is an American art historian and academic leader who served as president and CEO of New York’s Metropolitan Museum of Art.
-
E.
David Weisberg
David Weisberg is a screenwriter best known for co-writing the action film "The Rock" and other Hollywood thrillers.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf40f7908190a450c3136fccb020 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373911a00819092e4436b6a931d61 |
completed | March 13, 2026, 2:16 a.m. |
| NEDg | Description generation | batch_69b374d51a3c8190846baf5e147287bf |
completed | March 13, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37564bd988190a8e00e571dd04001 |
completed | March 13, 2026, 2:24 a.m. |
Created at: March 8, 2026, 3:09 p.m.