Triple

T5277109
Position Surface form Disambiguated ID Type / Status
Subject Cafe 4 E119395 entity
Predicate nearAttraction P3449 FINISHED
Object Doctor Doom’s Fearfall E119389 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: Doctor Doom’s Fearfall | Statement: [Cafe 4, nearAttraction, Doctor Doom’s Fearfall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doctor Doom’s Fearfall
Context triple: [Cafe 4, nearAttraction, Doctor Doom’s Fearfall]
  • A. Doctor Doom’s Fearfall chosen
    Doctor Doom’s Fearfall is a Marvel-themed drop tower thrill ride at Universal’s Islands of Adventure, inspired by the iconic Fantastic Four supervillain Doctor Doom.
  • B. Shatterdome
    Shatterdome is a massive coastal command and maintenance complex that serves as the operational base for Jaeger mechs and their pilots in the Pacific Rim universe.
  • C. Fallensteller
    Fallensteller is a literary work by Bosnian-German author Saša Stanišić, known for his inventive storytelling and exploration of identity and memory.
  • D. Deadfall
    "Deadfall" is a novel by American author Patti Davis, known for its psychological drama and exploration of complex family relationships.
  • E. Deadfall
    Deadfall is a 1993 neo-noir crime thriller film known for its convoluted plot and an over-the-top performance by Nicolas Cage.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8474e7fc8190ab5dd84f665ae6a4 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06d611a88190b1afc9161620223b completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:51 p.m.