Triple

T1839958
Position Surface form Disambiguated ID Type / Status
Subject Basia E41152 entity
Predicate usage P79 FINISHED
Object affectionate form of Barbara
Basia is a diminutive, affectionate given name commonly used in Slavic languages as a pet form of Barbara.
E7758 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: affectionate form of Barbara | Statement: [Basia, usage, affectionate form of Barbara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: affectionate form of Barbara
Context triple: [Basia, usage, affectionate form of Barbara]
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Bobbi
    Bobbi is the given name of Bobbi Kristina Brown, the late daughter of singers Whitney Houston and Bobby Brown.
  • C. Anna
    Anna is a character from the video game "Surfacing," likely serving as a key figure in the game's narrative or player interactions.
  • D. Anna
    Anna is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used across many cultures and languages.
  • E. Anna
    Anna is a central female character in the comedy Western film "A Million Ways to Die in the West," portrayed as a sharp-shooting, quick-witted woman who helps the protagonist toughen up in the dangerous frontier.
  • 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: affectionate form of Barbara
Triple: [Basia, usage, affectionate form of Barbara]
Generated description
Basia is a diminutive, affectionate given name commonly used in Slavic languages as a pet form of Barbara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: affectionate form of Barbara
Target entity description: Basia is a diminutive, affectionate given name commonly used in Slavic languages as a pet form of Barbara.
  • A. Barbara chosen
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Bobbi
    Bobbi is the given name of Bobbi Kristina Brown, the late daughter of singers Whitney Houston and Bobby Brown.
  • C. Anna
    Anna is a character from the video game "Surfacing," likely serving as a key figure in the game's narrative or player interactions.
  • D. Anna
    Anna is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used across many cultures and languages.
  • E. Anna
    Anna is a central female character in the comedy Western film "A Million Ways to Die in the West," portrayed as a sharp-shooting, quick-witted woman who helps the protagonist toughen up in the dangerous frontier.
  • F. None of above.

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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03b3eb08190ae68d8476fc89c7f completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9bb92a88190a00b102d3be0383c completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaf078a0819082c4bb48a3820ada completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adce8a68848190ab56f5df7311dbca completed March 8, 2026, 7:31 p.m.
Created at: March 4, 2026, 7:33 p.m.