Triple

T11693750
Position Surface form Disambiguated ID Type / Status
Subject Edna Ferber E277935 entity
Predicate familyName P18 FINISHED
Object Ferber
Ferber is a surname most notably associated with American novelist and playwright Edna Ferber, known for works such as "Show Boat" and "Giant."
E939605 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: Ferber | Statement: [Edna Ferber, familyName, Ferber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferber
Context triple: [Edna Ferber, familyName, Ferber]
  • A. Dibs
    Dibs is a bumbling, comic-relief henchman character from the 1995 fantasy film "Casper."
  • B. Feigel
    Feigel is a surname of Germanic or Yiddish origin, often associated with Central and Eastern European Jewish families.
  • C. Bebé
    "Bebé" is a track from Ozuna’s hit reggaeton album "Odisea," known for its romantic, melodic style.
  • D. Como un Bebé
    "Como un Bebé" is a song by the Puerto Rican reggaeton duo Oasis, known for its romantic urban style and infectious Latin rhythm.
  • E. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • 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: Ferber
Triple: [Edna Ferber, familyName, Ferber]
Generated description
Ferber is a surname most notably associated with American novelist and playwright Edna Ferber, known for works such as "Show Boat" and "Giant."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ferber
Target entity description: Ferber is a surname most notably associated with American novelist and playwright Edna Ferber, known for works such as "Show Boat" and "Giant."
  • A. Dibs
    Dibs is a bumbling, comic-relief henchman character from the 1995 fantasy film "Casper."
  • B. Feigel
    Feigel is a surname of Germanic or Yiddish origin, often associated with Central and Eastern European Jewish families.
  • C. Bebé
    "Bebé" is a track from Ozuna’s hit reggaeton album "Odisea," known for its romantic, melodic style.
  • D. Como un Bebé
    "Como un Bebé" is a song by the Puerto Rican reggaeton duo Oasis, known for its romantic urban style and infectious Latin rhythm.
  • E. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47b9eb48190976a35e91e25b56b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1461b2f0819091ef2a0627ffe5f5 completed April 27, 2026, 7:46 a.m.
NEDg Description generation batch_69ef3553a1748190b554463bcea8bd1d completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51fe3824819099f440426d3e6888 completed April 27, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:40 p.m.