Triple

T11545938
Position Surface form Disambiguated ID Type / Status
Subject Wumpa Islands E273775 entity
Predicate appearsIn P795 FINISHED
Object Crash Bash E910691 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: Crash Bash | Statement: [Wumpa Islands, appearsIn, Crash Bash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crash Bash
Context triple: [Wumpa Islands, appearsIn, Crash Bash]
  • A. Crash Bash chosen
    Crash Bash is a party-style spin-off in the Crash Bandicoot series featuring multiplayer mini-games and arena battles on the original PlayStation.
  • B. Crashout
    Crashout is a 1955 American film noir crime drama about a group of escaped convicts on a violent quest for hidden loot.
  • C. Crash
    Crash is a controversial 1973 novel by J. G. Ballard that explores the eroticization of car crashes and the dark intersections of technology, violence, and desire.
  • D. Crash
    Crash is a 1986 synth-pop album by British band The Human League, best known for featuring the hit single "Human" and marking a more polished, R&B-influenced sound for the group.
  • E. Crash
    Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e3ad548190b2c88332f5d919bd completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86b56e4081908746bb3355f6ec47 completed April 26, 2026, 9:42 p.m.
Created at: April 8, 2026, 9:37 p.m.