Triple

T18707818
Position Surface form Disambiguated ID Type / Status
Subject They Were Sisters E457418 entity
Predicate mainCharacter P1183 FINISHED
Object Vera
Vera is a central character in the 1945 British drama film "They Were Sisters," around whom much of the story’s emotional conflict and domestic turmoil revolves.
E1338464 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: Vera | Statement: [They Were Sisters, mainCharacter, Vera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vera
Context triple: [They Were Sisters, mainCharacter, Vera]
  • A. Vera
    Vera Rubin was an influential American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • B. Vera
    Vera is a memorable supporting character from the 1989 Eddie Murphy film "Harlem Nights," known for her tough, comedic persona.
  • C. Vera
    Vera is a feminine given name of Slavic origin, commonly used in Russian and other Eastern European cultures, meaning "faith."
  • D. Vera
    Vera is a historic coastal town and municipality in Spain’s Andalusian province of Almería, known for its beaches and traditional whitewashed architecture.
  • E. Vera
    "Vera" is a British crime drama television series, based on Ann Cleeves' novels, that follows the sharp but irascible Detective Chief Inspector Vera Stanhope as she solves complex murder cases in North East England.
  • 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: Vera
Triple: [They Were Sisters, mainCharacter, Vera]
Generated description
Vera is a central character in the 1945 British drama film "They Were Sisters," around whom much of the story’s emotional conflict and domestic turmoil revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vera
Target entity description: Vera is a central character in the 1945 British drama film "They Were Sisters," around whom much of the story’s emotional conflict and domestic turmoil revolves.
  • A. Vera
    Vera is a central character in August Wilson's play "Seven Guitars," portrayed as a resilient woman navigating love, loss, and survival in 1940s Pittsburgh.
  • B. Vera
    Vera is a memorable supporting character from the 1989 Eddie Murphy film "Harlem Nights," known for her tough, comedic persona.
  • C. Vera
    "Vera" is a British crime drama television series, based on Ann Cleeves' novels, that follows the sharp but irascible Detective Chief Inspector Vera Stanhope as she solves complex murder cases in North East England.
  • D. Vera
    Vera is a feminine given name of Slavic origin, commonly used in Russian and other Eastern European cultures, meaning "faith."
  • E. Vera
    Vera is a historic coastal town and municipality in Spain’s Andalusian province of Almería, known for its beaches and traditional whitewashed architecture.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e567185c648190848ca47498eb56b3 completed April 19, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b3c8e5081908735b95498b49547 completed May 14, 2026, 1:54 a.m.
NEDg Description generation batch_6a052c70dca881908fd4f3a437340bb5 completed May 14, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a052cc1c634819095ebfebf54d784d0 completed May 14, 2026, 2 a.m.
Created at: April 10, 2026, 11:50 a.m.