Triple

T18622842
Position Surface form Disambiguated ID Type / Status
Subject Bogusław Linda E455198 entity
Predicate notableWork P4 FINISHED
Object Sara
"Sara" is a 1997 Polish drama film directed by Maciej Ślesicki, starring Bogusław Linda as a bodyguard protecting a teenage girl, and is one of his best-known screen roles.
E1334890 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: Sara | Statement: [Bogusław Linda, notableWork, Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara
Context triple: [Bogusław Linda, notableWork, Sara]
  • A. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • B. Sara
    "Sara" is a soft rock song by Fleetwood Mac, written and sung by Stevie Nicks, known for its dreamy lyrics and prominent place on their 1979 album *Tusk*.
  • C. Sara
    Sara is the imaginative and resilient young heroine of Frances Hodgson Burnett’s classic children’s novel "A Little Princess."
  • D. Sara
    Sara is the central protagonist of the film "Runaway Train," around whom the story’s dramatic events and emotional stakes revolve.
  • E. Sara
    Sara is the central female protagonist of the Italian film "L’uomo che ama," around whom the story’s emotional and relational conflicts revolve.
  • 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: Sara
Triple: [Bogusław Linda, notableWork, Sara]
Generated description
"Sara" is a 1997 Polish drama film directed by Maciej Ślesicki, starring Bogusław Linda as a bodyguard protecting a teenage girl, and is one of his best-known screen roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sara
Target entity description: "Sara" is a 1997 Polish drama film directed by Maciej Ślesicki, starring Bogusław Linda as a bodyguard protecting a teenage girl, and is one of his best-known screen roles.
  • A. Sara
    Sara is the central female protagonist of the Italian film "L’uomo che ama," around whom the story’s emotional and relational conflicts revolve.
  • B. Sara
    Sara is the central protagonist of the film "Runaway Train," around whom the story’s dramatic events and emotional stakes revolve.
  • C. Sara
    Sara is a skilled warrior and love interest of the Huntsman in the fantasy film "The Huntsman: Winter’s War."
  • D. Sara
    Sara is the given name of the Irish stage and film actress Sara Allgood, known for her work in early 20th-century theatre and cinema.
  • E. Sara
    Sara is a young extraterrestrial girl with psychic powers who plays a central role in the science fiction adventure film "Race to Witch Mountain."
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f020fa08190bd78d72182496b19 completed April 19, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d765bb081908aab41aa6bb97fe4 completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050f6306ac8190aa4d72627345cf55 completed May 13, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_6a050ff68a7c8190bf82d00370f4b1d4 completed May 13, 2026, 11:57 p.m.
Created at: April 10, 2026, 11:46 a.m.