Triple

T3366391
Position Surface form Disambiguated ID Type / Status
Subject Super Bowl XIV E70845 entity
Predicate halftimeShow P10817 FINISHED
Object Up with People E49869 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: Up with People | Statement: [Super Bowl XIV, halftimeShow, Up with People]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Up with People
Context triple: [Super Bowl XIV, halftimeShow, Up with People]
  • A. Up With People chosen
    Up With People is an educational, music-based nonprofit organization best known for its large-scale, youth-led musical performances and international goodwill tours.
  • B. The People, Yes
    The People, Yes is a sprawling, populist epic poem by Carl Sandburg that celebrates the resilience, humor, and democratic spirit of ordinary Americans during the early 20th century.
  • C. The Satisfied People
    "The Satisfied People" is a film featuring Russian actress Svetlana Khodchenkova in a notable role.
  • D. Among People
    Among People is an alternative title for the film "In the World."
  • E. Ever Upward
    Ever Upward is the official English motto of the U.S. state of New York, expressing a spirit of continual progress and aspiration.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb287a30c8190b4c40091675c94fb completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325500eac8190b6f43864af8bda6c completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.