Triple
T20390331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rim of the World |
E498066
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Miya Cech |
—
|
NE NERFINISHED |
How this triple was built (2 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: Miya Cech | Statement: [Rim of the World, hasCastMember, Miya Cech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miya Cech Context triple: [Rim of the World, hasCastMember, Miya Cech]
-
A.
Miya Cech
chosen
Miya Cech is an American actress known for her roles in film and television, including the sci-fi thriller "The Darkest Minds" and the series "Are You Afraid of the Dark?".
-
B.
Nina Sosanya
Nina Sosanya is a British actress known for her work in television, film, and theatre, including roles in series such as "Last Tango in Halifax," "W1A," and "His Dark Materials."
-
C.
Dida
Dida is a Brazilian former professional goalkeeper best known for his time at AC Milan, where he was regarded as one of the world’s top keepers in the early 2000s.
-
D.
Dida
"Dida" is a song best known from Joan Baez’s repertoire, often associated with her 1970s folk and singer-songwriter work.
-
E.
Mia Bonzanigo
Mia Bonzanigo is known as a former romantic partner of the Swiss surrealist artist H. R. Giger.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.