Triple

T17806244
Position Surface form Disambiguated ID Type / Status
Subject Vincent Benedict E444566 entity
Predicate partOf P40 FINISHED
Object Twins (film series context) 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: Twins (film series context) | Statement: [Vincent Benedict, partOf, Twins (film series context)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twins (film series context)
Context triple: [Vincent Benedict, partOf, Twins (film series context)]
  • A. Twins
    "Twins" is a notable work by Donald Yearnsley Wilson, recognized as one of his significant creative contributions.
  • B. Twins
    The Twins are a Major League Baseball team based in Minneapolis, Minnesota, known officially as the Minnesota Twins.
  • C. Twins chosen
    Twins is a 1988 comedy film starring Arnold Schwarzenegger and Danny DeVito as genetically engineered twin brothers with wildly contrasting personalities.
  • D. Twins
    Twins is a popular Cantopop female duo from Hong Kong, known for their catchy pop songs and significant influence on the region’s youth culture since the early 2000s.
  • E. Twins
    "Twins" is a 2012 garage rock and psychedelic album by American musician Ty Segall, known for its fuzz-heavy sound and prolific, lo-fi aesthetic.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488044cdc8190a09a2265c8a86475 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:14 a.m.