Triple

T8889909
Position Surface form Disambiguated ID Type / Status
Subject In the Zone E211636 entity
Predicate producer P490 FINISHED
Object Trixster E490762 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: Trixster | Statement: [In the Zone, producer, Trixster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trixster
Context triple: [In the Zone, producer, Trixster]
  • A. Trixter chosen
    Trixter is an American hard rock band best known for their early 1990s glam metal hits and MTV presence.
  • B. Lycos
    Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
  • C. Friendster
    Friendster was one of the earliest major social networking websites, popular in the early 2000s for connecting friends online before eventually declining and shutting down.
  • D. Bebo
    Bebo is a now-defunct social networking website that was especially popular in the mid-2000s for sharing profiles, photos, and messages among friends.
  • E. Xanga
    Xanga is a now largely defunct early 2000s social networking and blogging platform that allowed users to create personal blogs, share posts, and interact through comments and subscriptions.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618f94108190b03248832bfe68a9 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabe955e08190a8d61cfaa2d52731 completed April 3, 2026, noon
Created at: March 30, 2026, 6:53 p.m.