Triple
T20517463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breathe In |
E503716
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Megan Reynolds
Megan Reynolds is a fictional character from the film "Breathe In," involved in the drama surrounding a family's emotional and relational tensions.
|
E1520762
|
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: Megan Reynolds | Statement: [Breathe In, hasCharacter, Megan Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Reynolds Context triple: [Breathe In, hasCharacter, Megan Reynolds]
-
A.
Megan Burns
Megan Burns is a British actress best known for her role as Hannah in the post-apocalyptic horror film "28 Days Later."
-
B.
Megan Dodds
Megan Dodds is an American actress known for her work in film, television, and theatre, including roles in projects like "Ever After," "Spooks," and various stage productions in London’s West End.
-
C.
Megan Everett
Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
-
D.
Megan Foster
Megan Foster is an American local government leader serving as the mayor of Coralville, Iowa.
-
E.
Megan Ferguson
Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
- 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: Megan Reynolds Triple: [Breathe In, hasCharacter, Megan Reynolds]
Generated description
Megan Reynolds is a fictional character from the film "Breathe In," involved in the drama surrounding a family's emotional and relational tensions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megan Reynolds Target entity description: Megan Reynolds is a fictional character from the film "Breathe In," involved in the drama surrounding a family's emotional and relational tensions.
-
A.
Megan Burns
Megan Burns is a British actress best known for her role as Hannah in the post-apocalyptic horror film "28 Days Later."
-
B.
Megan Dodds
Megan Dodds is an American actress known for her work in film, television, and theatre, including roles in projects like "Ever After," "Spooks," and various stage productions in London’s West End.
-
C.
Megan Everett
Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
-
D.
Megan Foster
Megan Foster is an American local government leader serving as the mayor of Coralville, Iowa.
-
E.
Megan Ferguson
Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f42db688190a3ccfba5601e8bf3 |
completed | April 20, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f01d6e4819096dcf105cf48bee6 |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a9374c1508190bd4d51b52fa55ede |
completed | May 18, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a93f3f8348190b9040d1c5cbc5a18 |
completed | May 18, 2026, 4:22 a.m. |
Created at: April 16, 2026, 11:36 a.m.