Triple

T13021218
Position Surface form Disambiguated ID Type / Status
Subject Hope van Dyne E326175 entity
Predicate uses P98 FINISHED
Object Pym Particles E324797 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: Pym Particles | Statement: [Hope van Dyne, uses, Pym Particles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pym Particles
Context triple: [Hope van Dyne, uses, Pym Particles]
  • A. Pym Particles chosen
    Pym Particles are fictional subatomic particles in Marvel Comics that enable dramatic size and mass manipulation, most famously used by Ant-Man and related heroes.
  • B. Particle & Particle Systems Characterization
    Particle & Particle Systems Characterization is a peer-reviewed scientific journal focusing on the characterization, properties, and behavior of particles and particulate systems across chemistry, materials science, and related fields.
  • C. Pym Technologies
    Pym Technologies is a fictional scientific research and technology company in the Marvel universe, founded by Hank Pym and known for its groundbreaking size-altering Pym Particles.
  • D. Pym
    Pym is an English surname most notably associated with John Pym, a leading parliamentary figure in the early stages of the English Civil War.
  • E. Mayavi
    Mayavi is a 3D scientific data visualization library for Python, widely used for interactive plotting and analysis of complex numerical data.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecf21bc819082fb512bc479b4be completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c119e19c81908ae2b1caff6f2f32 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:52 p.m.