Triple

T10582676
Position Surface form Disambiguated ID Type / Status
Subject Oneiroi E249773 entity
Predicate member P10 FINISHED
Object Phantasos E873093 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: Phantasos | Statement: [Oneiroi, member, Phantasos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phantasos
Context triple: [Oneiroi, member, Phantasos]
  • A. Phantasos chosen
    Phantasos is a figure from Greek mythology, one of the dream deities associated with unreal or fantastical dream images.
  • B. 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.
  • C. Forest of Illusion
    Forest of Illusion is a secret-filled, maze-like forest world in Super Mario World known for its tricky level exits and hidden paths.
  • D. Phantoscope
    The Phantoscope was an early motion picture projector whose design formed the basis for later commercial projectors like the Vitascope.
  • E. 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.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52766d53c8190b51753768ab58c31 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e7df88081908e3d77f357f176e3 completed April 10, 2026, 8:33 p.m.
Created at: April 6, 2026, 12:39 p.m.