Triple

T11084133
Position Surface form Disambiguated ID Type / Status
Subject Detroit Shock E262074 entity
Predicate nickname P55 FINISHED
Object Shock E868114 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: Shock | Statement: [Detroit Shock, nickname, Shock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shock
Context triple: [Detroit Shock, nickname, Shock]
  • A. Shock chosen
    Shock is a former Women's National Basketball Association (WNBA) franchise that played in Tulsa, Oklahoma before relocating and becoming the Dallas Wings.
  • B. Shock Value
    Shock Value is a 2007 studio album by producer Timbaland that blends hip hop, pop, and electronic influences and features numerous high-profile guest artists.
  • C. Shock G
    Shock G was an American rapper, musician, and producer best known as the frontman of Digital Underground and an influential collaborator in early West Coast hip-hop.
  • D. Shock divisions
    Shock divisions were elite Yugoslav Partisan combat units in World War II, organized for rapid, high-intensity offensive operations against Axis forces.
  • E. Trauma
    "Trauma" is a video artwork by British conceptual artist Gillian Wearing that explores themes of memory, identity, and personal testimony through intimate, confessional interviews.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799c0cc3081908448cfb26c08daf5 completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e79854c88190bda69cfbe4ae9d1e completed April 18, 2026, 8:20 p.m.
Created at: April 8, 2026, 9:27 p.m.