Triple
T14567999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Movita Castaneda |
E341835
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Movita |
E1106798
|
NE FINISHED |
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: Movita | Statement: [Movita Castaneda, alsoKnownAs, Movita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Movita Context triple: [Movita Castaneda, alsoKnownAs, Movita]
-
A.
Movita
chosen
Movita was an American actress and singer best known for her roles in classic Hollywood films such as "Mutiny on the Bounty" and for her marriage to actor Marlon Brando.
-
B.
Movima
Movima is an indigenous language of the Bolivian lowlands, spoken by the Movima people primarily in the Beni Department.
-
C.
Muevelo
Muevelo is a song best known as a high-energy Latin dance track whose title translates to “Move it.”
-
D.
Movia
Movia is a Danish public transport authority responsible for planning and managing bus services in the Greater Copenhagen area and parts of Zealand.
-
E.
Movia
Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b4013881908fddb8b3cf8494de |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:23 a.m.