Triple

T4075485
Position Surface form Disambiguated ID Type / Status
Subject Frankenderby E86754 entity
Predicate alsoKnownAs P39 FINISHED
Object Franken-Derby E338094 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: Franken-Derby | Statement: [Frankenderby, alsoKnownAs, Franken-Derby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franken-Derby
Context triple: [Frankenderby, alsoKnownAs, Franken-Derby]
  • A. Franken
    Franken is a culturally rich region in northern Bavaria, Germany, known for its historic towns, traditional festivals, and distinctive Franconian wine and beer.
  • B. Strassenfest chosen
    Strassenfest is an annual German-themed street festival in Jasper, Indiana, featuring traditional food, music, parades, and cultural celebrations.
  • C. Fright Fest
    Fright Fest is Six Flags’ annual Halloween-themed event featuring haunted attractions, scare zones, and seasonal entertainment.
  • D. Army of Darkness
    Army of Darkness is a 1992 horror-comedy film that blends slapstick humor with supernatural action as it follows Ash Williams battling undead forces in a medieval setting.
  • E. Doppelganger
    Doppelganger is a 1993 psychological horror film starring Victoria Tennant that blends themes of identity, paranoia, and the supernatural.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc25e2e08190b3c048e1b8f85bbf completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562bc05948190a9ad709768420588 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.