Triple

T21481477
Position Surface form Disambiguated ID Type / Status
Subject Minna Gombell E530003 entity
Predicate name P16 FINISHED
Object Minna Gombell NE NERFINISHED

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: Minna Gombell | Statement: [Minna Gombell, name, Minna Gombell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minna Gombell
Context triple: [Minna Gombell, name, Minna Gombell]
  • A. Minna Gombell chosen
    Minna Gombell was an American stage and film actress active in the 1930s and 1940s, known for her character roles in Hollywood productions.
  • B. Frederica Bimmel
    Frederica Bimmel is a young murder victim in Thomas Harris's novel "The Silence of the Lambs," whose disappearance helps FBI trainee Clarice Starling track the serial killer Buffalo Bill.
  • C. Alma Pudden
    Alma Pudden is a fictional schoolgirl character from Enid Blyton’s "St. Clare’s" series, known for attending the boarding school of the same name.
  • D. Melva
    Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
  • E. Bibi Vogel
    Bibi Vogel was a Brazilian singer and actress best known for her work in popular music and television during the 1960s and 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea338f988190a3044f8d02a567fe completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:21 p.m.