Triple

T10392021
Position Surface form Disambiguated ID Type / Status
Subject The Unbearable Lightness of Being (film) E244914 entity
Predicate character P662 FINISHED
Object Tomas E143480 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: Tomas | Statement: [The Unbearable Lightness of Being (film), character, Tomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomas
Context triple: [The Unbearable Lightness of Being (film), character, Tomas]
  • A. Tomas chosen
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • B. Tomáš
    Tomáš is a masculine given name commonly used in Czech and Slovak cultures, equivalent to Thomas in English.
  • C. Tomasino
    Tomasino is the colloquial term used to refer to students of the University of Santo Tomas in the Philippines.
  • D. Tobias
    Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
  • E. Tobias
    Tobias is a character from the novel "Watch Over Me," playing a significant role in the story's emotional and psychological development.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b5b43081908641a5abfb08dc2b completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795c0253c8190b6141ccb90fd1b7e completed April 9, 2026, 12:04 p.m.
Created at: April 6, 2026, 12:06 p.m.