Triple
T5148393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muriel's Wedding |
E116130
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Sophie Lee
Sophie Lee is an Australian actress and television presenter known for her roles in films such as "Muriel's Wedding" and various Australian TV programs.
|
E498633
|
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: Sophie Lee | Statement: [Muriel's Wedding, castMember, Sophie Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Lee Context triple: [Muriel's Wedding, castMember, Sophie Lee]
-
A.
Lucy Saxon
Lucy Saxon is a character in the Doctor Who universe, known as the wife and accomplice of the Master during his tenure as Prime Minister of the United Kingdom.
-
B.
Sophie Baker
Sophie Baker is known as the wife of acclaimed English actor Ian Holm.
-
C.
Sophie Lennon
Sophie Lennon is a fictional, larger-than-life, and often antagonistic stand-up comedian in the television series "The Marvelous Mrs. Maisel."
-
D.
Sophie Hopkins
Sophie Hopkins is a British actress best known for her role as April MacLean in the Doctor Who spin-off television series "Class."
-
E.
Sophie Mol
Sophie Mol is a pivotal child character in Arundhati Roy’s novel "The God of Small Things," whose tragic fate profoundly shapes the story’s emotional and political landscape.
- 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: Sophie Lee Triple: [Muriel's Wedding, castMember, Sophie Lee]
Generated description
Sophie Lee is an Australian actress and television presenter known for her roles in films such as "Muriel's Wedding" and various Australian TV programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sophie Lee Target entity description: Sophie Lee is an Australian actress and television presenter known for her roles in films such as "Muriel's Wedding" and various Australian TV programs.
-
A.
Lucy Saxon
Lucy Saxon is a character in the Doctor Who universe, known as the wife and accomplice of the Master during his tenure as Prime Minister of the United Kingdom.
-
B.
Sophie Baker
Sophie Baker is known as the wife of acclaimed English actor Ian Holm.
-
C.
Sophie Lennon
Sophie Lennon is a fictional, larger-than-life, and often antagonistic stand-up comedian in the television series "The Marvelous Mrs. Maisel."
-
D.
Sophie Hopkins
Sophie Hopkins is a British actress best known for her role as April MacLean in the Doctor Who spin-off television series "Class."
-
E.
Sophie Mol
Sophie Mol is a pivotal child character in Arundhati Roy’s novel "The God of Small Things," whose tragic fate profoundly shapes the story’s emotional and political landscape.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfff6e8c8190883fc981fca95f48 |
completed | March 21, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69bed3fd1d0081908d7fcaccd6e337ee |
completed | March 21, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed4817390819090d48b0784c78ca3 |
completed | March 21, 2026, 5:25 p.m. |
Created at: March 20, 2026, 1:43 p.m.