Triple

T12557231
Position Surface form Disambiguated ID Type / Status
Subject Charles Francis Jenkins E295248 entity
Predicate coInvented P1858 FINISHED
Object Phantoscope E293273 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: Phantoscope | Statement: [Charles Francis Jenkins, coInvented, Phantoscope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phantoscope
Context triple: [Charles Francis Jenkins, coInvented, Phantoscope]
  • A. Phantoscope chosen
    The Phantoscope was an early motion picture projector whose design formed the basis for later commercial projectors like the Vitascope.
  • 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. Phantasos
    Phantasos is a figure from Greek mythology, one of the dream deities associated with unreal or fantastical dream images.
  • D. Phantasmion
    Phantasmion is a 19th-century fantasy novel by Sara Coleridge, often regarded as one of the earliest examples of modern high fantasy in English literature.
  • E. Phantom Engineer
    "Phantom Engineer" is an earlier, alternate version of Bob Dylan's song that later became known as "It Takes a Lot to Laugh, It Takes a Train to Cry."
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95490d2708190857f0cb9b8dd6a30 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655895c9c819082f41e79906567c6 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:47 p.m.