Triple

T6495957
Position Surface form Disambiguated ID Type / Status
Subject Viveca Lindfors E148159 entity
Predicate child P120 FINISHED
Object John Tabori E571469 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: John Tabori | Statement: [Viveca Lindfors, child, John Tabori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tabori
Context triple: [Viveca Lindfors, child, John Tabori]
  • A. Paul Tabori
    Paul Tabori was a Hungarian-British writer, journalist, and screenwriter known for his work in mid-20th-century film and literature, often exploring psychological and speculative themes.
  • B. Zhozef Kotin
    Zhozef Kotin was a prominent Soviet tank designer best known for leading the development of several heavy tanks used during World War II.
  • C. George Tabori chosen
    George Tabori was a Hungarian-born writer, playwright, and director known for his darkly comic and often autobiographical works that grappled with the Holocaust, exile, and identity.
  • D. Karel Roden
    Karel Roden is a Czech actor known internationally for his roles in films such as "Hellboy," "The Bourne Supremacy," and various European and Hollywood productions.
  • E. Charles Dagomer
    Charles Dagomer was an 18th-century French artist and teacher known for instructing painter Jean-Baptiste Huet.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab958808190bd85e007e925ffc4 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fdf59548190b4ba4f44716e6b3c completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:53 p.m.