Triple

T20433569
Position Surface form Disambiguated ID Type / Status
Subject Marc Spicer E501192 entity
Predicate collaboratedWith P435 FINISHED
Object Justin Lin 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: Justin Lin | Statement: [Marc Spicer, collaboratedWith, Justin Lin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Justin Lin
Context triple: [Marc Spicer, collaboratedWith, Justin Lin]
  • A. Justin Lin chosen
    Justin Lin is a Taiwanese-American film director best known for revitalizing the Fast & Furious franchise and directing the science-fiction film Star Trek Beyond.
  • B. Jon M. Chu
    Jon M. Chu is an American film director best known for stylish, music- and dance-driven movies such as the Step Up sequels, Crazy Rich Asians, and In the Heights.
  • C. Ronny Yu
    Ronny Yu is a Hong Kong-born film director best known internationally for his stylish work on genre films such as "Bride of Chucky" and "Freddy vs. Jason."
  • D. Lee Isaac Chung
    Lee Isaac Chung is an American film director and screenwriter best known for his semi-autobiographical drama "Minari," which received widespread critical acclaim and multiple award nominations.
  • E. Dan Lin
    Dan Lin is a Taiwanese-American film producer and executive known for overseeing major franchises such as The Lego Movie series and various DC and Sherlock Holmes films.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685eba35881908c316443b6d789fb completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.