Triple
T14398265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flatliners |
E357005
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Rachel Mannus |
—
|
NE ONDG |
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: Rachel Mannus | Statement: [Flatliners, mainCharacter, Rachel Mannus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Mannus Context triple: [Flatliners, mainCharacter, Rachel Mannus]
-
A.
Mariann Aalda
Mariann Aalda is an American actress and comedian best known for her work in television sitcoms and soap operas, including a pioneering role as one of the first Black daytime soap opera heroines.
-
B.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
-
C.
Joy McManigal
Joy McManigal is known as the former spouse of actor Giancarlo Esposito and has been involved in philanthropic and educational initiatives.
-
D.
Mandy Barnett
Mandy Barnett is an American country music singer known for her powerful, classic-country vocal style and her acclaimed performances on stage and record.
-
E.
DeAnna Madsen
DeAnna Madsen is an American actress known for her supporting roles in film and television and for being married to actor Michael Madsen.
- 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: Rachel Mannus Triple: [Flatliners, mainCharacter, Rachel Mannus]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel Mannus Target entity description: Rachel Mannus is a central character in the psychological horror film "Flatliners," portrayed as a driven medical student who participates in dangerous near-death experiments to explore the afterlife and confront her past.
-
A.
Mariann Aalda
Mariann Aalda is an American actress and comedian best known for her work in television sitcoms and soap operas, including a pioneering role as one of the first Black daytime soap opera heroines.
-
B.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
-
C.
Joy McManigal
Joy McManigal is known as the former spouse of actor Giancarlo Esposito and has been involved in philanthropic and educational initiatives.
-
D.
Mandy Barnett
Mandy Barnett is an American country music singer known for her powerful, classic-country vocal style and her acclaimed performances on stage and record.
-
E.
DeAnna Madsen
DeAnna Madsen is an American actress known for her supporting roles in film and television and for being married to actor Michael Madsen.
- F. None of above. chosen
Provenance (4 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9083f9d081908fe5c99655c410b3 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01963971248190b5e2b0b77eb7cbfe |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 1:17 a.m.