Triple
T16387024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minka Kelly |
E397948
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object |
Sara Matthews
Sara Matthews is the obsessive and increasingly dangerous college roommate character from the 2011 psychological thriller film "The Roommate."
|
E1281548
|
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: Sara Matthews | Statement: [Minka Kelly, portrayedCharacter, Sara Matthews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Matthews Context triple: [Minka Kelly, portrayedCharacter, Sara Matthews]
-
A.
Sara Williams
Sara Williams is a sibling of American actress Michelle Williams, known primarily for her family connection to the Oscar-nominated performer.
-
B.
Sara Smith
Sara Smith is a film producer known for her work on Disney’s fantasy adventure movie "The Nutcracker and the Four Realms."
-
C.
Sarah Matthews
Sarah Matthews is the protagonist of the film "Made in America," around whom the story’s central family and identity themes revolve.
-
D.
Sara Richardson
Sara Richardson is a television producer best known for serving as an executive producer on the crime drama series NCIS: Sydney.
-
E.
Sara Stewart
Sara Stewart is a Scottish-born actress known for her work in British television, film, and theatre, including roles in series like "Doctor Foster" and "Sugar Rush."
- 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: Sara Matthews Triple: [Minka Kelly, portrayedCharacter, Sara Matthews]
Generated description
Sara Matthews is the obsessive and increasingly dangerous college roommate character from the 2011 psychological thriller film "The Roommate."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Matthews Target entity description: Sara Matthews is the obsessive and increasingly dangerous college roommate character from the 2011 psychological thriller film "The Roommate."
-
A.
Sara Williams
Sara Williams is a sibling of American actress Michelle Williams, known primarily for her family connection to the Oscar-nominated performer.
-
B.
Sara Smith
Sara Smith is a film producer known for her work on Disney’s fantasy adventure movie "The Nutcracker and the Four Realms."
-
C.
Sarah Matthews
Sarah Matthews is the protagonist of the film "Made in America," around whom the story’s central family and identity themes revolve.
-
D.
Sara Richardson
Sara Richardson is a television producer best known for serving as an executive producer on the crime drama series NCIS: Sydney.
-
E.
Sara Stewart
Sara Stewart is a Scottish-born actress known for her work in British television, film, and theatre, including roles in series like "Doctor Foster" and "Sugar Rush."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02163209608190aa36abc63bc2b4e3 |
completed | May 11, 2026, 5:47 p.m. |
| NEDg | Description generation | batch_6a0218872d24819099658d76208edd7e |
completed | May 11, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02197eeda0819093f180a2b2035705 |
completed | May 11, 2026, 6:01 p.m. |
Created at: April 10, 2026, 5:08 a.m.