Triple

T14585281
Position Surface form Disambiguated ID Type / Status
Subject Ben Falcone E342297 entity
Predicate writerOf P2831 FINISHED
Object Thunder Force E1107900 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: Thunder Force | Statement: [Ben Falcone, writerOf, Thunder Force]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunder Force
Context triple: [Ben Falcone, writerOf, Thunder Force]
  • A. Thunder Force chosen
    Thunder Force is a 2021 superhero comedy film starring Melissa McCarthy and Octavia Spencer as estranged childhood friends who gain superpowers and team up to fight crime.
  • B. Shining Force
    Shining Force is a tactical role-playing game series known for its strategic grid-based battles and fantasy storytelling, originally developed for Sega consoles in the 1990s.
  • C. Gradius
    Gradius is a classic side-scrolling shoot 'em up arcade game by Konami, renowned for its innovative power-up system and influential role in shaping the genre.
  • D. Groundforce
    Groundforce is a Spanish airport ground handling company that provides services such as baggage handling, ramp operations, and passenger assistance at various airports.
  • E. Star Wolf
    Star Wolf is a science fiction novel by Ted White, known for its spacefaring adventure and imaginative futuristic setting.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5c79c488190a134d2b0435e899e completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:24 a.m.