Triple
T7516775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnum Force |
E177664
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Adele Yoshioka
Adele Yoshioka is an actress best known for her role in the 1973 Clint Eastwood crime film "Magnum Force."
|
E670561
|
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: Adele Yoshioka | Statement: [Magnum Force, stars, Adele Yoshioka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adele Yoshioka Context triple: [Magnum Force, stars, Adele Yoshioka]
-
A.
Kelly Matsumoto
Kelly Matsumoto is a film editor known for her work on major Hollywood productions, including the science fiction blockbuster "Star Trek Beyond."
-
B.
Lisa Matsuda
Lisa Matsuda is a neuroscientist best known for identifying and characterizing the CB1 cannabinoid receptor, a key component of the endocannabinoid system in the brain.
-
C.
Kerri Higuchi
Kerri Higuchi is a Korean American actress and director known for her work in film and television and for being married to actor John Cho.
-
D.
Atsuko Nishida
Atsuko Nishida is a Japanese illustrator and character designer best known for creating Pikachu and contributing to many iconic Pokémon designs.
-
E.
Edie Ichioka
Edie Ichioka is a film editor known for her work on animated and family films, including major studio features.
- 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: Adele Yoshioka Triple: [Magnum Force, stars, Adele Yoshioka]
Generated description
Adele Yoshioka is an actress best known for her role in the 1973 Clint Eastwood crime film "Magnum Force."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adele Yoshioka Target entity description: Adele Yoshioka is an actress best known for her role in the 1973 Clint Eastwood crime film "Magnum Force."
-
A.
Kelly Matsumoto
Kelly Matsumoto is a film editor known for her work on major Hollywood productions, including the science fiction blockbuster "Star Trek Beyond."
-
B.
Lisa Matsuda
Lisa Matsuda is a neuroscientist best known for identifying and characterizing the CB1 cannabinoid receptor, a key component of the endocannabinoid system in the brain.
-
C.
Kerri Higuchi
Kerri Higuchi is a Korean American actress and director known for her work in film and television and for being married to actor John Cho.
-
D.
Atsuko Nishida
Atsuko Nishida is a Japanese illustrator and character designer best known for creating Pikachu and contributing to many iconic Pokémon designs.
-
E.
Edie Ichioka
Edie Ichioka is a film editor known for her work on animated and family films, including major studio features.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f595148190b36649b0095bb898 |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84621ba688190b85ee787b856b138 |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c847a7f49c819081b018575dce62b8 |
completed | March 28, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84828b2c48190a70f3bcd9e7554cc |
completed | March 28, 2026, 9:29 p.m. |
Created at: March 27, 2026, 3:46 p.m.