Triple
T14766359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benched |
E347005
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Andrea Shay
Andrea Shay is a television producer best known for her executive production work on the comedy series "Benched."
|
E1119107
|
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: Andrea Shay | Statement: [Benched, executiveProducer, Andrea Shay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Shay Context triple: [Benched, executiveProducer, Andrea Shay]
-
A.
Andrea Hart
Andrea Hart is the daughter of former U.S. Senator and 1984/1988 Democratic presidential candidate Gary Hart.
-
B.
Andrea Stinson
Andrea Stinson is a former American professional basketball guard best known as a three-time WNBA All-Star and one of the early standout players for the Charlotte Sting.
-
C.
Andrea Leeds
Andrea Leeds was an American film actress best known for her acclaimed performances in 1930s Hollywood, including an Oscar-nominated role in "Stage Door."
-
D.
Andrea Warren
Andrea Warren is a film and animation producer known for her work on major animated features at Pixar Animation Studios.
-
E.
Andrea Troyer
Andrea Troyer is an American writer and editor known for her work in publishing and for being married to television producer and writer D. B. Weiss.
- 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: Andrea Shay Triple: [Benched, executiveProducer, Andrea Shay]
Generated description
Andrea Shay is a television producer best known for her executive production work on the comedy series "Benched."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrea Shay Target entity description: Andrea Shay is a television producer best known for her executive production work on the comedy series "Benched."
-
A.
Andrea Hart
Andrea Hart is the daughter of former U.S. Senator and 1984/1988 Democratic presidential candidate Gary Hart.
-
B.
Andrea Stinson
Andrea Stinson is a former American professional basketball guard best known as a three-time WNBA All-Star and one of the early standout players for the Charlotte Sting.
-
C.
Andrea Leeds
Andrea Leeds was an American film actress best known for her acclaimed performances in 1930s Hollywood, including an Oscar-nominated role in "Stage Door."
-
D.
Andrea Warren
Andrea Warren is a film and animation producer known for her work on major animated features at Pixar Animation Studios.
-
E.
Andrea Troyer
Andrea Troyer is an American writer and editor known for her work in publishing and for being married to television producer and writer D. B. Weiss.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf68d94819093567bc630f67b60 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1b0056988190b14560470428d895 |
completed | May 8, 2026, 5:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1b97e8148190b23a555b9f2c7f1f |
completed | May 8, 2026, 5:21 p.m. |
Created at: April 10, 2026, 1:30 a.m.