Triple

T1413995
Position Surface form Disambiguated ID Type / Status
Subject Anita Gütermann E31869 entity
Predicate givenName P17 FINISHED
Object Anita
Anita is a feminine given name used in various cultures, often as a diminutive of names like Ana or Anna.
E162140 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: Anita | Statement: [Anita Gütermann, givenName, Anita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anita
Context triple: [Anita Gütermann, givenName, Anita]
  • A. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • B. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • C. Sheila
    Sheila is a feminine given name of Irish origin that has been widely used in English-speaking countries.
  • D. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • E. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • 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: Anita
Triple: [Anita Gütermann, givenName, Anita]
Generated description
Anita is a feminine given name used in various cultures, often as a diminutive of names like Ana or Anna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anita
Target entity description: Anita is a feminine given name used in various cultures, often as a diminutive of names like Ana or Anna.
  • A. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • B. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • C. Sheila
    Sheila is a feminine given name of Irish origin that has been widely used in English-speaking countries.
  • D. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • E. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e476f08190aed1576805c62462 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace57ec2d88190b06d0f20e3b52462 completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace5fc91d081909b33009d06a38616 completed March 8, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69ace6c10f54819089a4afcf49ef894f completed March 8, 2026, 3:02 a.m.
Created at: March 1, 2026, 7:59 p.m.