Triple

T8500953
Position Surface form Disambiguated ID Type / Status
Subject Jack Soo E201212 entity
Predicate name P16 FINISHED
Object Jack Soo E201212 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: Jack Soo | Statement: [Jack Soo, name, Jack Soo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Soo
Context triple: [Jack Soo, name, Jack Soo]
  • A. Jack Soo chosen
    Jack Soo was a Japanese-American actor and comedian best known for his role as Detective Nick Yemana on the television sitcom "Barney Miller."
  • B. Mason Lee
    Mason Lee is a Taiwanese-American actor known for roles in films such as "The Hangover Part II" and for being the son of acclaimed director Ang Lee.
  • C. Jacknife Lee
    Jacknife Lee is an Irish music producer and mixer known for his work with major rock and pop acts such as U2, R.E.M., and Snow Patrol.
  • D. Jin Lee
    Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
  • E. Eddie Kim
    Eddie Kim is the ruthless crime boss and primary antagonist in the action-thriller film "Snakes on a Plane," responsible for orchestrating the deadly snake attack aboard the aircraft.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5996ce88190956cb3f8d9ad3daf completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e1da7388190855ccd2e4292fd26 completed April 2, 2026, 11:08 a.m.
Created at: March 30, 2026, 6:14 p.m.