Triple
T6162044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella Enchanted |
E137464
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Susan Miller
Susan Miller is a film producer best known for her work on the fantasy romantic comedy "Ella Enchanted."
|
E574339
|
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: Susan Miller | Statement: [Ella Enchanted, producer, Susan Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Miller Context triple: [Ella Enchanted, producer, Susan Miller]
-
A.
Suzy Miller
Suzy Miller is a former British model and socialite best known for her high-profile marriages to Formula One driver James Hunt and later actor Richard Burton.
-
B.
Tricia Miller
Tricia Miller is a troubled but endearing young inmate in the television series "Orange Is the New Black," known for her close bond with fellow prisoner Poussey Washington.
-
C.
Colleen Miller
Colleen Miller is an American actress known for her film and television roles during the 1950s.
-
D.
Tamara Miller
Tamara Miller is a member of the Disney family and a granddaughter of Walt Disney through his daughter Diane Disney Miller.
-
E.
Lori Martin
Lori Martin was an American actress best known for her role as the teenage daughter in the 1962 psychological thriller film "Cape Fear."
- 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: Susan Miller Triple: [Ella Enchanted, producer, Susan Miller]
Generated description
Susan Miller is a film producer best known for her work on the fantasy romantic comedy "Ella Enchanted."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Miller Target entity description: Susan Miller is a film producer best known for her work on the fantasy romantic comedy "Ella Enchanted."
-
A.
Suzy Miller
Suzy Miller is a former British model and socialite best known for her high-profile marriages to Formula One driver James Hunt and later actor Richard Burton.
-
B.
Tricia Miller
Tricia Miller is a troubled but endearing young inmate in the television series "Orange Is the New Black," known for her close bond with fellow prisoner Poussey Washington.
-
C.
Colleen Miller
Colleen Miller is an American actress known for her film and television roles during the 1950s.
-
D.
Tamara Miller
Tamara Miller is a member of the Disney family and a granddaughter of Walt Disney through his daughter Diane Disney Miller.
-
E.
Lori Martin
Lori Martin was an American actress best known for her role as the teenage daughter in the 1962 psychological thriller film "Cape Fear."
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14199f024819089af02b1c0eebfad |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c1467ef4d48190b714823935318c0a |
completed | March 23, 2026, 1:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c146f59d9881908fdc6c0137f0ead7 |
completed | March 23, 2026, 1:58 p.m. |
Created at: March 22, 2026, 4:17 p.m.