Triple

T5806386
Position Surface form Disambiguated ID Type / Status
Subject Skitters E128753 entity
Predicate notableSubgroup P4297 FINISHED
Object rebel Skitters E128753 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: rebel Skitters | Statement: [Skitters, notableSubgroup, rebel Skitters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: rebel Skitters
Context triple: [Skitters, notableSubgroup, rebel Skitters]
  • A. Skitters chosen
    Skitters are an insectoid alien species that serve as primary ground troops and antagonists in the science fiction television series "Falling Skies."
  • B. Stinger the Yellowjacket
    Stinger the Yellowjacket is the energetic yellowjacket-themed mascot representing the University of Wisconsin–Superior at its athletic events and campus activities.
  • C. Rebel
    Rebel is an off-road-focused trim of the Ram 1500 pickup truck, featuring rugged styling and enhanced off-road capability.
  • D. Rebel
    Rebel is a television drama series starring Katey Sagal as a blue-collar legal advocate inspired by the life and work of activist Erin Brockovich.
  • E. Muscardin
    Muscardin is a rare, light-colored red grape variety from France’s Rhône Valley, known for contributing floral aromas, high acidity, and finesse to Southern Rhône blends.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b15d8108190b434da42631c4e0c completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0983a0b648190ba2c76434d3b1b58 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.