Triple

T1630523
Position Surface form Disambiguated ID Type / Status
Subject Jack Black E35245 entity
Predicate name P16 FINISHED
Object Jack Black E35245 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 Black | Statement: [Jack Black, name, Jack Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Black
Context triple: [Jack Black, name, Jack Black]
  • A. Jack Black chosen
    Jack Black is an American actor, comedian, and musician known for his energetic performances in films like "School of Rock" and as the lead vocalist of the comedy rock duo Tenacious D.
  • B. Will Ferrell
    Will Ferrell is an American comedian, actor, writer, and producer best known for his work on "Saturday Night Live" and a series of hit comedy films such as "Anchorman" and "Elf."
  • C. Owen Wilson
    Owen Wilson is an American actor and screenwriter known for his laid-back charm and roles in popular comedies and adventure films such as "Wedding Crashers," "Zoolander," and "Midnight in Paris."
  • D. Kevin Hart
    Kevin Hart is an American stand-up comedian and actor known for his high-energy performances, self-deprecating humor, and starring roles in numerous hit comedy films.
  • E. Chris Tucker
    Chris Tucker is an American actor and comedian best known for his high-energy performances in the Rush Hour film series and other popular comedies.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb3a9b634819086b44f1574e97dcb completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d79bc88190bfc62f53dd8e8b90 completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.