Triple

T14413283
Position Surface form Disambiguated ID Type / Status
Subject Skiptrace E357383 entity
Predicate character P662 FINISHED
Object Dasha
Dasha is a fictional character from the action-comedy film "Skiptrace," which stars Jackie Chan and Johnny Knoxville.
 E1097650 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: Dasha | Statement: [Skiptrace, character, Dasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dasha
Context triple: [Skiptrace, character, Dasha]
  • A. Dima
    Dima is an alternative name for the Dimasa people, an indigenous ethnic group primarily inhabiting parts of Northeast India.
  • B. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • C. Kalina
    Kalina is a locality in Mumbai, India, known for its residential areas, educational institutions, and proximity to major commercial and transport hubs.
  • D. Dalia
    Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
  • E. Dalia
    Dalia is a supporting character in Disney’s 2019 live-action adaptation of Aladdin, serving as Princess Jasmine’s handmaiden and close confidante.
  • 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: Dasha
Triple: [Skiptrace, character, Dasha]
Generated description
Dasha is a fictional character from the action-comedy film "Skiptrace," which stars Jackie Chan and Johnny Knoxville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dasha
Target entity description: Dasha is a fictional character from the action-comedy film "Skiptrace," which stars Jackie Chan and Johnny Knoxville.
  • A. Dima
    Dima is an alternative name for the Dimasa people, an indigenous ethnic group primarily inhabiting parts of Northeast India.
  • B. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • C. Kalina
    Kalina is a locality in Mumbai, India, known for its residential areas, educational institutions, and proximity to major commercial and transport hubs.
  • D. Dalia
    Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
  • E. Dalia
    Dalia is a supporting character in Disney’s 2019 live-action adaptation of Aladdin, serving as Princess Jasmine’s handmaiden and close confidante.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671e4688190ab1b7a7ed6c0cfb8 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57710f648190a1344ac1363acce1 completed May 8, 2026, 3:24 a.m.
Created at: April 10, 2026, 1:17 a.m.