Triple

T5858946
Position Surface form Disambiguated ID Type / Status
Subject Mrs Proudie E130225 entity
Predicate hasTitle P38 FINISHED
Object Mrs
Mrs is a common English honorific used as a title for married women.
 E550304 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: Mrs | Statement: [Mrs Proudie, hasTitle, Mrs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mrs
Context triple: [Mrs Proudie, hasTitle, Mrs]
  • A. Woman
    Woman is a documentary film by Yann Arthus-Bertrand that presents intimate interviews with women around the world, exploring their experiences, challenges, and perspectives.
  • B. Woman III
    Woman III is an abstract expressionist painting by Willem de Kooning, renowned for its aggressive, gestural depiction of a female figure and its pivotal role in his celebrated "Women" series.
  • C. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • D. Woman I
    Woman I is a landmark abstract expressionist painting by Willem de Kooning, renowned for its aggressive brushwork and provocative depiction of the female figure.
  • E. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • 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: Mrs
Triple: [Mrs Proudie, hasTitle, Mrs]
Generated description
Mrs is a common English honorific used as a title for married women.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mrs
Target entity description: Mrs is a common English honorific used as a title for married women.
  • A. Woman
    Woman is a documentary film by Yann Arthus-Bertrand that presents intimate interviews with women around the world, exploring their experiences, challenges, and perspectives.
  • B. Woman III
    Woman III is an abstract expressionist painting by Willem de Kooning, renowned for its aggressive, gestural depiction of a female figure and its pivotal role in his celebrated "Women" series.
  • C. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • D. Woman I
    Woman I is a landmark abstract expressionist painting by Willem de Kooning, renowned for its aggressive brushwork and provocative depiction of the female figure.
  • E. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0358654e48190908e7390a0164726 completed March 22, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1c3a69881908ffeee1ddbeb8618 completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a258fa208190a06b457e7856c338 completed March 23, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69c0a310d2d08190a8dab95f9eef2815 completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:56 p.m.