Triple

T6960449
Position Surface form Disambiguated ID Type / Status
Subject Decima E161353 entity
Predicate usedIn P98 FINISHED
Object Horizon series E234522 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: Horizon series | Statement: [Decima, usedIn, Horizon series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horizon series
Context triple: [Decima, usedIn, Horizon series]
  • A. Horizon View
    Horizon View is a residential suburb located in Roodepoort, a city on the West Rand of Johannesburg, South Africa.
  • B. Horizon Zero Dawn chosen
    Horizon Zero Dawn is an action role-playing game set in a post-apocalyptic world overrun by robotic creatures, known for its open-world exploration, engaging combat, and strong narrative centered on the protagonist Aloy.
  • C. Horizons
    Horizons is a French centre-right political party founded by former prime minister Édouard Philippe, generally aligned with President Emmanuel Macron’s centrist majority.
  • D. Horizons
    Horizons is a showcase section of the Karlovy Vary International Film Festival that presents notable and acclaimed films from around the world outside the main competition.
  • E. Horizons
    Horizons was a beloved Epcot dark ride that offered guests an immersive, optimistic vision of future living through detailed scenes and advanced audio-animatronics.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daeee4d48190b078beeebb0053f4 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7589892888190bf240bdbf107efcc completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:29 p.m.