Triple

T3466429
Position Surface form Disambiguated ID Type / Status
Subject Hedda Gabler E73148 entity
Predicate hasCharacter P2308 FINISHED
Object Berte
Berte is a minor character in Henrik Ibsen’s play "Hedda Gabler," serving as the Tesmans’ maid and highlighting the household’s social dynamics.
 E360533 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: Berte | Statement: [Hedda Gabler, hasCharacter, Berte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berte
Context triple: [Hedda Gabler, hasCharacter, Berte]
  • A. Bartel
    Bartel is the given name of Bartel Leendert van der Waerden, a prominent Dutch mathematician known for his work in algebra and number theory.
  • B. Berta
    Berta is a fictional character in Paulo Coelho’s novel "The Devil and Miss Prym," serving as one of the villagers whose life and choices reflect the book’s central moral and spiritual dilemmas.
  • C. Berta
    Berta is a Nilo-Saharan language spoken primarily in parts of Sudan and Ethiopia.
  • D. Bonte
    Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
  • E. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • 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: Berte
Triple: [Hedda Gabler, hasCharacter, Berte]
Generated description
Berte is a minor character in Henrik Ibsen’s play "Hedda Gabler," serving as the Tesmans’ maid and highlighting the household’s social dynamics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berte
Target entity description: Berte is a minor character in Henrik Ibsen’s play "Hedda Gabler," serving as the Tesmans’ maid and highlighting the household’s social dynamics.
  • A. Bartel
    Bartel is the given name of Bartel Leendert van der Waerden, a prominent Dutch mathematician known for his work in algebra and number theory.
  • B. Berta
    Berta is a fictional character in Paulo Coelho’s novel "The Devil and Miss Prym," serving as one of the villagers whose life and choices reflect the book’s central moral and spiritual dilemmas.
  • C. Berta
    Berta is a Nilo-Saharan language spoken primarily in parts of Sudan and Ethiopia.
  • D. Bonte
    Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
  • E. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb1090188190ac8aafd87dfaa6a7 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680412c0819086da51a05b24a676 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368d21f7c819092660301b7d840db completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3694e92b8819082d54a56d901e9f8 completed March 13, 2026, 1:33 a.m.
Created at: March 8, 2026, 3:17 p.m.