Triple

T11203179
Position Surface form Disambiguated ID Type / Status
Subject Bend It Like Beckham E265091 entity
Predicate cinematography P1953 FINISHED
Object Jong Lin E539307 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: Jong Lin | Statement: [Bend It Like Beckham, cinematography, Jong Lin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jong Lin
Context triple: [Bend It Like Beckham, cinematography, Jong Lin]
  • A. Jong Lin chosen
    Jong Lin is a Taiwanese cinematographer known for his collaborations with director Ang Lee and his visually rich work on acclaimed international films.
  • B. Giong Lim
    Giong Lim is a musician and composer known for creating music featured in the film "Platform."
  • C. Chan Kong-sang
    Chan Kong-sang is the birth name of Jackie Chan, the internationally renowned Hong Kong martial artist, actor, stuntman, and filmmaker.
  • D. Loong Kim Sang
    Loong Kim Sang is a renowned Cantonese opera performer celebrated as a leading successor to the art and style of legendary actress Yam Kim-fai.
  • E. Yuh Nung Jan
    Yuh Nung Jan is a prominent neuroscientist renowned for his pioneering work on the genetic and molecular mechanisms underlying neural development and function.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4972bfbd481908cd0da59389ae17c completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.