Triple

T10848145
Position Surface form Disambiguated ID Type / Status
Subject MNEK E256069 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Mabel E682656 NE FINISHED

How this triple was built (2 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: Mabel | Statement: [MNEK, hasCollaboratedWith, Mabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mabel
Context triple: [MNEK, hasCollaboratedWith, Mabel]
  • A. Mabel
    Mabel is the principal soprano heroine in Gilbert and Sullivan's comic opera "The Pirates of Penzance," known for her virtuosic coloratura singing and romantic storyline with Frederic.
  • B. Mabel chosen
    Mabel is a feminine given name of medieval origin that has been used in various English-speaking cultures.
  • C. Mabel
    Mabel is a friendly blue hedgehog in the Animal Crossing series who runs the Able Sisters clothing shop and helps players customize their outfits.
  • D. Mabel Grex
    Mabel Grex is a central fictional character in Anthony Trollope’s novel "The Duke's Children," known for her beauty, charm, and complex romantic entanglements within high society.
  • E. Mabel Trunnelle
    Mabel Trunnelle was an American silent film actress active in the early 20th century, known for her work with the Edison Manufacturing Company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75114ca988190a0e730131adb2df0 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.