Triple

T16331450
Position Surface form Disambiguated ID Type / Status
Subject Trapped in the Flames E396563 entity
Predicate partOf P40 FINISHED
Object The Phantom Creeps E88122 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: The Phantom Creeps | Statement: [Trapped in the Flames, partOf, The Phantom Creeps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Phantom Creeps
Context triple: [Trapped in the Flames, partOf, The Phantom Creeps]
  • A. The Phantom Creeps chosen
    The Phantom Creeps is a 1939 science-fiction movie serial featuring Bela Lugosi as a mad scientist who unleashes deadly inventions in a bid for world domination.
  • B. The Phantasm
    The Phantasm is a mysterious, cloaked vigilante and assassin who serves as the central antagonist and dark mirror to Batman in the animated film Batman: Mask of the Phantasm.
  • C. Phantom and the Ghost
    Phantom and the Ghost is a studio album by American rapper Styles P that showcases his gritty lyricism and street-oriented storytelling.
  • D. Phantom’s Revenge
    Phantom’s Revenge is a high-speed steel roller coaster at Kennywood amusement park near Pittsburgh, Pennsylvania, known for its intense airtime and dramatic terrain-hugging drops.
  • E. The Phantom
    The Phantom is the main terrorist antagonist in the 2008 Adam Sandler comedy film "You Don’t Mess with the Zohan."
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4dfd9688190a749e48ebc055baf completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d27712081908530bbf0d9d47e1f completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:07 a.m.