Triple
T22634582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherman |
E558644
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Wayne Sherman
Wayne Sherman is an individual notable enough to be recognized as a prominent bearer of the surname Sherman.
|
E1559575
|
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: Wayne Sherman | Statement: [Sherman, hasNotableBearer, Wayne Sherman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wayne Sherman Context triple: [Sherman, hasNotableBearer, Wayne Sherman]
-
A.
Howard Sherman
Howard Sherman is an American businessman and film producer best known as the husband of actress Sela Ward.
-
B.
Howard Sherman
Howard Sherman is a relatively obscure individual primarily known in available records through his familial connection to Anabella Sherman.
-
C.
Howard Sherman
Howard Sherman was a Golden Age comic book artist best known for his work on DC Comics' mystical superhero Doctor Fate.
-
D.
Bruce Sherman
Bruce Sherman is an American businessman and investor best known as the principal owner and chairman of Major League Baseball’s Miami Marlins.
-
E.
Wayne Wahrman
Wayne Wahrman is a film editor best known for his work on major Hollywood productions, including the post-apocalyptic thriller "I Am Legend."
- 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: Wayne Sherman Triple: [Sherman, hasNotableBearer, Wayne Sherman]
Generated description
Wayne Sherman is an individual notable enough to be recognized as a prominent bearer of the surname Sherman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wayne Sherman Target entity description: Wayne Sherman is an individual notable enough to be recognized as a prominent bearer of the surname Sherman.
-
A.
Howard Sherman
Howard Sherman is an American businessman and film producer best known as the husband of actress Sela Ward.
-
B.
Howard Sherman
Howard Sherman is a relatively obscure individual primarily known in available records through his familial connection to Anabella Sherman.
-
C.
Howard Sherman
Howard Sherman was a Golden Age comic book artist best known for his work on DC Comics' mystical superhero Doctor Fate.
-
D.
Bruce Sherman
Bruce Sherman is an American businessman and investor best known as the principal owner and chairman of Major League Baseball’s Miami Marlins.
-
E.
Wayne Wahrman
Wayne Wahrman is a film editor best known for his work on major Hollywood productions, including the post-apocalyptic thriller "I Am Legend."
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700d492081909bab8d9dbb1faef2 |
completed | April 29, 2026, 2:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9a85f108190919e338bb38ca0ae |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb22990481908e3e676324e11068 |
completed | May 19, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbb8aeb2c8190af19b0e81ca8b9b4 |
completed | May 19, 2026, 1:23 a.m. |
Created at: April 17, 2026, 3:03 p.m.