Triple

T11642080
Position Surface form Disambiguated ID Type / Status
Subject Skylanders: Trap Team E276682 entity
Predicate feature P374 FINISHED
Object Kaos Trap E388335 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: Kaos Trap | Statement: [Skylanders: Trap Team, feature, Kaos Trap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaos Trap
Context triple: [Skylanders: Trap Team, feature, Kaos Trap]
  • A. Kaos chosen
    Kaos is the primary villain in the Skylanders video game series, a power-hungry Portal Master who repeatedly schemes to conquer Skylands.
  • B. The Trap
    "The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
  • C. The Trap
    The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
  • D. KAOS
    KAOS is the fictional international criminal organization and primary antagonist group in the classic spy-comedy television series "Get Smart."
  • E. Trampas
    Trampas is a recurring antagonist in Owen Wister’s Western novel *The Virginian*, known for his rivalry with the title character and embodiment of lawless frontier values.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a260ab488190ab1c00d9850f3096 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87deb3888190842bd61efd7b3989 completed April 26, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:39 p.m.