Triple

T6128559
Position Surface form Disambiguated ID Type / Status
Subject Franz Drameh E136651 entity
Predicate portrayed P1668 FINISHED
Object Firestorm E198706 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: Firestorm | Statement: [Franz Drameh, portrayed, Firestorm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Firestorm
Context triple: [Franz Drameh, portrayed, Firestorm]
  • A. Firestorm
    Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
  • B. Firestorm chosen
    Firestorm is a fictional character name commonly used for powerful, often elemental-themed heroes or creatures, typically associated with fire-based abilities.
  • C. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • D. Into the Storm
    Into the Storm is a 2009 historical drama television film that chronicles Winston Churchill’s leadership of Britain during World War II.
  • E. Eye of the Storm
    Eye of the Storm is a thriller novel by Jack Higgins that follows an elite assassin embroiled in a high-stakes plot involving political intrigue and terrorism.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4b1df081908dc87fa1c45a43bf completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135cabf808190bbc3ba70eb04126f completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:15 p.m.