Triple
T16782446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Estate (2022 film) |
E407888
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Allyson Seeger
Allyson Seeger is a film producer known for her work on the 2022 dark comedy "The Estate."
|
E1234230
|
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: Allyson Seeger | Statement: [The Estate (2022 film), producer, Allyson Seeger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allyson Seeger Context triple: [The Estate (2022 film), producer, Allyson Seeger]
-
A.
Allyson Winberg
Allyson Winberg is a television executive producer known for her work on the series "Younger."
-
B.
Allison Jay
Allison Jay is a British illustrator and artist best known for her distinctive, folk-art-inspired illustrations in children's books.
-
C.
Emily Sears
Emily Sears was the wife of U.S. Senator and diplomat Henry Cabot Lodge Jr., known primarily for her role as his spouse within a prominent American political family.
-
D.
Alison Owings
Alison Owings is an American author and oral historian known for her books that amplify the voices of marginalized and overlooked groups, including women in Nazi Germany and undocumented immigrants.
-
E.
Allison Schroeder
Allison Schroeder is an American screenwriter best known for co-writing the acclaimed film "Hidden Figures" and other major Hollywood projects.
- 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: Allyson Seeger Triple: [The Estate (2022 film), producer, Allyson Seeger]
Generated description
Allyson Seeger is a film producer known for her work on the 2022 dark comedy "The Estate."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allyson Seeger Target entity description: Allyson Seeger is a film producer known for her work on the 2022 dark comedy "The Estate."
-
A.
Allyson Winberg
Allyson Winberg is a television executive producer known for her work on the series "Younger."
-
B.
Allison Jay
Allison Jay is a British illustrator and artist best known for her distinctive, folk-art-inspired illustrations in children's books.
-
C.
Emily Sears
Emily Sears was the wife of U.S. Senator and diplomat Henry Cabot Lodge Jr., known primarily for her role as his spouse within a prominent American political family.
-
D.
Alison Owings
Alison Owings is an American author and oral historian known for her books that amplify the voices of marginalized and overlooked groups, including women in Nazi Germany and undocumented immigrants.
-
E.
Allison Schroeder
Allison Schroeder is an American screenwriter best known for co-writing the acclaimed film "Hidden Figures" and other major Hollywood projects.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b217b2108190bbba262a3b324509 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab056dc88190aeb9e135ae955125 |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00abe78194819098a2867c7cb5b8b2 |
completed | May 10, 2026, 4:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00afddb580819090e6b4e9dd4c1545 |
completed | May 10, 2026, 4:18 p.m. |
Created at: April 10, 2026, 5:22 a.m.