Triple

T13351050
Position Surface form Disambiguated ID Type / Status
Subject David Eggby E318068 entity
Predicate notableWork P4 FINISHED
Object The Phantom E732643 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 | Statement: [David Eggby, notableWork, The Phantom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Phantom
Context triple: [David Eggby, notableWork, The Phantom]
  • A. The Phantom
    The Phantom is the main terrorist antagonist in the 2008 Adam Sandler comedy film "You Don’t Mess with the Zohan."
  • B. The Phantom chosen
    The Phantom is a 1996 superhero adventure film, based on the classic comic strip, in which Billy Zane stars as a masked crime-fighter defending the jungle island of Bengalla from a ruthless criminal mastermind.
  • C. 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.
  • D. 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.
  • E. Phantom Lady
    Phantom Lady is a 1944 American film noir crime drama, based on Cornell Woolrich’s novel, about a man trying to clear his name of murder with the help of his loyal secretary.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.