Triple

T10457471
Position Surface form Disambiguated ID Type / Status
Subject Owning Mahowny E246582 entity
Predicate productionCompany P490 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: [Owning Mahowny, productionCompany, Alliance Atlantis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alliance Atlantis
Context triple: [Owning Mahowny, productionCompany, 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 a 17th-century scholarly work by Olof Rudbeck the Elder that ambitiously argues Sweden was the cradle of ancient civilization, including Atlantis.
  • C. 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.
  • D. Project Atlantis
    Project Atlantis was the internal codename for Nintendo’s Game Boy Advance handheld video game console during its development.
  • E. Corsair
    Corsair is a computer hardware and peripherals company best known for its gaming-focused products such as keyboards, mice, headsets, and PC components.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe4a56e08190ab56d762d6a91b01 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f182cb481909f838d6d1dfa7e79 completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:18 p.m.