Triple
T23101427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Steal (1990 film) |
E576039
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Angie Milliken
Angie Milliken is an Australian actress known for her work in film, television, and theatre.
|
E1571559
|
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: Angie Milliken | Statement: [The Big Steal (1990 film), stars, Angie Milliken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angie Milliken Context triple: [The Big Steal (1990 film), stars, Angie Milliken]
-
A.
Angela Quarles
Angela Quarles is a contemporary American author best known for her time-travel and paranormal romance novels.
-
B.
Melinda Mullins
Melinda Mullins is an American actress best known for her role on the 1990s AMC television series "Remember WENN."
-
C.
Charlene McGee
Charlene McGee is the young girl with powerful and dangerous pyrokinetic abilities at the center of Stephen King’s novel "Firestarter."
-
D.
Kimberly Woodard
Kimberly Woodard is a television producer best known for her executive production work on the live law-enforcement reality series "Live PD."
-
E.
Kalisha Benson
Kalisha Benson is a character in Stephen King’s horror novel "The Institute," one of the gifted children imprisoned and exploited by the sinister facility.
- 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: Angie Milliken Triple: [The Big Steal (1990 film), stars, Angie Milliken]
Generated description
Angie Milliken is an Australian actress known for her work in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angie Milliken Target entity description: Angie Milliken is an Australian actress known for her work in film, television, and theatre.
-
A.
Angela Quarles
Angela Quarles is a contemporary American author best known for her time-travel and paranormal romance novels.
-
B.
Melinda Mullins
Melinda Mullins is an American actress best known for her role on the 1990s AMC television series "Remember WENN."
-
C.
Charlene McGee
Charlene McGee is the young girl with powerful and dangerous pyrokinetic abilities at the center of Stephen King’s novel "Firestarter."
-
D.
Kimberly Woodard
Kimberly Woodard is a television producer best known for her executive production work on the live law-enforcement reality series "Live PD."
-
E.
Kalisha Benson
Kalisha Benson is a character in Stephen King’s horror novel "The Institute," one of the gifted children imprisoned and exploited by the sinister facility.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de8c5b4819095cddf989cade60d |
completed | April 29, 2026, 4:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23e26fcc81908c83314244c8bc44 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c27f16a188190ac5eeb3c0dbe2ac4 |
completed | May 19, 2026, 9:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c28f3c9288190b9ee0e5c4911ee9b |
completed | May 19, 2026, 9:10 a.m. |
Created at: April 17, 2026, 3:58 p.m.