Triple

T3147439
Position Surface form Disambiguated ID Type / Status
Subject DreamWorks Animation E65796 entity
Predicate notableWork P4 FINISHED
Object Antz E268291 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: Antz | Statement: [DreamWorks Animation, notableWork, Antz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antz
Context triple: [DreamWorks Animation, notableWork, Antz]
  • A. Antz chosen
    Antz is a 1998 computer-animated comedy film about an anxious worker ant who challenges his colony’s rigid social order, notable as one of DreamWorks Animation’s earliest feature films.
  • B. Antu
    Antu is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory at Paranal in Chile.
  • C. Antu
    Antu is a Mesopotamian sky and mother goddess, best known as the consort of the supreme god Anu in ancient Sumerian and Akkadian religion.
  • D. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • E. Aranzazu
    Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59a54188190a2e020fd4004d734 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f53bbc81908416272cd48af69e completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.