Triple
T18132446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William G. Bowen |
E434046
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object |
Sarah A. Levin
Sarah A. Levin is an author and scholar known for coauthoring academic work with economist and university leader William G. Bowen.
|
E1316612
|
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: Sarah A. Levin | Statement: [William G. Bowen, coAuthor, Sarah A. Levin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah A. Levin Context triple: [William G. Bowen, coAuthor, Sarah A. Levin]
-
A.
Diane Kagan
Diane Kagan is an American actress known for her supporting role in the 1990 drama film "Mr. and Mrs. Bridge."
-
B.
Colleen Miller
Colleen Miller is an American actress known for her film and television roles during the 1950s.
-
C.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
D.
Sandy Wexler
Sandy Wexler is a 2017 comedy film starring Adam Sandler as an eccentric Hollywood talent manager navigating the ups and downs of show business in 1990s Los Angeles.
-
E.
Marsha Emanuel
Marsha Emanuel is the mother of American talent agent and Endeavor CEO Ari Emanuel, and part of the prominent Emanuel family that includes former Chicago mayor Rahm Emanuel.
- 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: Sarah A. Levin Triple: [William G. Bowen, coAuthor, Sarah A. Levin]
Generated description
Sarah A. Levin is an author and scholar known for coauthoring academic work with economist and university leader William G. Bowen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah A. Levin Target entity description: Sarah A. Levin is an author and scholar known for coauthoring academic work with economist and university leader William G. Bowen.
-
A.
Diane Kagan
Diane Kagan is an American actress known for her supporting role in the 1990 drama film "Mr. and Mrs. Bridge."
-
B.
Colleen Miller
Colleen Miller is an American actress known for her film and television roles during the 1950s.
-
C.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
D.
Sandy Wexler
Sandy Wexler is a 2017 comedy film starring Adam Sandler as an eccentric Hollywood talent manager navigating the ups and downs of show business in 1990s Los Angeles.
-
E.
Marsha Emanuel
Marsha Emanuel is the mother of American talent agent and Endeavor CEO Ari Emanuel, and part of the prominent Emanuel family that includes former Chicago mayor Rahm Emanuel.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf2c68881909dfbe59df15ddccc |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb437384819099d5e51ae9151786 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bbfa0da481908bb0e388dcbe9913 |
completed | May 12, 2026, 11:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bd6078b88190887a32099fc31db0 |
completed | May 12, 2026, 11:53 p.m. |
Created at: April 10, 2026, 10:29 a.m.