Triple

T8654790
Position Surface form Disambiguated ID Type / Status
Subject Franchot Tone E205386 entity
Predicate notableWork P4 FINISHED
Object Phantom Lady E503929 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: Phantom Lady | Statement: [Franchot Tone, notableWork, Phantom Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phantom Lady
Context triple: [Franchot Tone, notableWork, Phantom Lady]
  • A. Phantom Lady chosen
    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.
  • B. The Phantom
    The Phantom is the main terrorist antagonist in the 2008 Adam Sandler comedy film "You Don’t Mess with the Zohan."
  • C. The Phantom
    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.
  • D. The Devil-Doll
    The Devil-Doll is a 1936 horror film directed by Tod Browning, known for its macabre story involving miniaturized humans used for revenge.
  • E. The Lady Killer
    The Lady Killer is CeeLo Green’s critically acclaimed 2010 soul and R&B album best known for the hit single "Forget You."
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48432568819093b9a867b4f62b78 completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccdaad2881908f131ee9da2841d1 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:29 p.m.