Triple

T14567962
Position Surface form Disambiguated ID Type / Status
Subject Movita Castaneda E341835 entity
Predicate givenName P17 FINISHED
Object Movita
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.
 E1106798 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: Movita | Statement: [Movita Castaneda, givenName, Movita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Movita
Context triple: [Movita Castaneda, givenName, Movita]
  • A. Movima
    Movima is an indigenous language of the Bolivian lowlands, spoken by the Movima people primarily in the Beni Department.
  • B. Muevelo
    Muevelo is a song best known as a high-energy Latin dance track whose title translates to “Move it.”
  • C. Movia
    Movia is a Danish public transport authority responsible for planning and managing bus services in the Greater Copenhagen area and parts of Zealand.
  • D. Movia
    Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
  • E. Toinette
    Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
  • 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: Movita
Triple: [Movita Castaneda, givenName, Movita]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Movita
Target entity description: 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.
  • A. Movima
    Movima is an indigenous language of the Bolivian lowlands, spoken by the Movima people primarily in the Beni Department.
  • B. Muevelo
    Muevelo is a song best known as a high-energy Latin dance track whose title translates to “Move it.”
  • C. Movia
    Movia is a Danish public transport authority responsible for planning and managing bus services in the Greater Copenhagen area and parts of Zealand.
  • D. Movia
    Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
  • E. Toinette
    Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
  • 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_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_69fd8ac669cc819083e05620b1e8c370 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8c5b09448190ad084746a6dd23f5 completed May 8, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d609684819090a9c3f2304f4a6a completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.