Triple

T10026650
Position Surface form Disambiguated ID Type / Status
Subject Genndy Tartakovsky E200745 entity
Predicate notableWork P4 FINISHED
Object Samurai Jack E101328 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: Samurai Jack | Statement: [Genndy Tartakovsky, notableWork, Samurai Jack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samurai Jack
Context triple: [Genndy Tartakovsky, notableWork, Samurai Jack]
  • A. Samurai Jack chosen
    Samurai Jack is an acclaimed animated action-adventure television series created by Genndy Tartakovsky, following a time-displaced samurai’s quest to defeat the evil demon Aku.
  • B. Jack-Jack Attack
    Jack-Jack Attack is a short animated film from Pixar that focuses on the chaotic babysitting adventures of the Parr family's infant, Jack-Jack, as his superpowers begin to emerge.
  • C. Ninja
    Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
  • D. Palooka
    Palooka is a 1934 American comedy film based on the popular comic strip about a naive but talented boxer, starring Jimmy Durante and Lupe Vélez.
  • E. Samurai Mike
    Samurai Mike is the nickname of Mike Singletary, a Hall of Fame NFL linebacker renowned for his intense, hard-hitting play and leadership with the Chicago Bears in the 1980s.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde3c1b88190924e6158f406b453 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ac2f14081908deaf3945491af78 completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:54 p.m.