Triple
T19771724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red State |
E474903
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Elyse Seiden
Elyse Seiden is a film producer best known for her work on independent and genre films, including Kevin Smith’s horror thriller "Red State."
|
E1415621
|
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: Elyse Seiden | Statement: [Red State, producer, Elyse Seiden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elyse Seiden Context triple: [Red State, producer, Elyse Seiden]
-
A.
Elyse Goldstein
Elyse Goldstein is a Canadian Reform rabbi, feminist, and educator known for her leadership in Jewish learning and advocacy for gender equality in Judaism.
-
B.
Giselle Eisenberg
Giselle Eisenberg is an American child actress best known for her comedic role as Sophia Hughes on the CBS sitcom "Life in Pieces."
-
C.
Reneé Seitchek
Reneé Seitchek is the central protagonist of the novel "Strong Motion," around whom the story’s events and themes revolve.
-
D.
Elizabeth Natalie Schram
Elizabeth Natalie Schram, known professionally as Bitty Schram, is an American actress best known for her role as Sharona Fleming on the television series "Monk."
-
E.
Elise Pearlstein
Elise Pearlstein is an American film producer best known for her work on acclaimed documentaries, including the Oscar-nominated "Food, Inc."
- 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: Elyse Seiden Triple: [Red State, producer, Elyse Seiden]
Generated description
Elyse Seiden is a film producer best known for her work on independent and genre films, including Kevin Smith’s horror thriller "Red State."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elyse Seiden Target entity description: Elyse Seiden is a film producer best known for her work on independent and genre films, including Kevin Smith’s horror thriller "Red State."
-
A.
Elyse Goldstein
Elyse Goldstein is a Canadian Reform rabbi, feminist, and educator known for her leadership in Jewish learning and advocacy for gender equality in Judaism.
-
B.
Giselle Eisenberg
Giselle Eisenberg is an American child actress best known for her comedic role as Sophia Hughes on the CBS sitcom "Life in Pieces."
-
C.
Reneé Seitchek
Reneé Seitchek is the central protagonist of the novel "Strong Motion," around whom the story’s events and themes revolve.
-
D.
Elizabeth Natalie Schram
Elizabeth Natalie Schram, known professionally as Bitty Schram, is an American actress best known for her role as Sharona Fleming on the television series "Monk."
-
E.
Elise Pearlstein
Elise Pearlstein is an American film producer best known for her work on acclaimed documentaries, including the Oscar-nominated "Food, Inc."
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535ce4d08190a1dfca2df95a8631 |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c5efa4c8190879fde20322590f5 |
completed | May 16, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a083cc663d48190883c1d255ca426e9 |
completed | May 16, 2026, 9:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083d57e2bc8190826328935e16f335 |
completed | May 16, 2026, 9:48 a.m. |
Created at: April 10, 2026, 1:48 p.m.