Triple

T14566229
Position Surface form Disambiguated ID Type / Status
Subject Bon Cop, Bad Cop E341790 entity
Predicate distributor P1951 FINISHED
Object Alliance Atlantis E197713 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: Alliance Atlantis | Statement: [Bon Cop, Bad Cop, distributor, Alliance Atlantis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alliance Atlantis
Context triple: [Bon Cop, Bad Cop, distributor, Alliance Atlantis]
  • A. Alliance Atlantis chosen
    Alliance Atlantis was a Canadian entertainment company known for producing and distributing popular television series and films internationally.
  • B. Atlantica
    Atlantica is the undersea kingdom ruled by King Triton in Disney's "The Little Mermaid," where Princess Ariel and other merfolk live.
  • C. Atlantica
    Atlantica is a 17th-century scholarly work by Olof Rudbeck the Elder that ambitiously argues Sweden was the cradle of ancient civilization, including Atlantis.
  • D. Alliance Vanguard
    Alliance Vanguard is an elite military force within the Alliance, known for spearheading critical combat operations and defending Alliance interests across the galaxy.
  • E. Caladan Oceanic
    Caladan Oceanic is a private deep-sea exploration company known for organizing and conducting record-breaking manned expeditions to the deepest points in the world’s oceans.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac485688190a2917251a7c8721a completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.