Triple

T6379420
Position Surface form Disambiguated ID Type / Status
Subject Run for Cover E143542 entity
Predicate notableSingle P3283 FINISHED
Object Run for Cover E143542 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: Run for Cover | Statement: [Run for Cover, notableSingle, Run for Cover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Run for Cover
Context triple: [Run for Cover, notableSingle, Run for Cover]
  • A. Run for Cover chosen
    "Run for Cover" is a 1985 hard rock and blues-influenced studio album by Irish guitarist Gary Moore, featuring collaborations with artists like Phil Lynott and Glenn Hughes.
  • B. Run for Cover
    Run for Cover is a 1955 Western film directed by Nicholas Ray and starring James Cagney as a former outlaw seeking redemption in a small frontier town.
  • C. Save the Night
    "Save the Night" is a song by John Legend from his R&B album "Love in the Future."
  • D. Run for Your Life
    "Run for Your Life" is a song by the Beatles, written primarily by John Lennon and released as the closing track on their 1965 album Rubber Soul.
  • E. Life on the Run
    Life on the Run is a memoir by former NBA player and U.S. senator Bill Bradley that reflects on his basketball career and the personal and social lessons he drew from life in professional sports.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685029488190911fb24c470b6f0d completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640b56de8819092e00930f56aeb56 completed March 27, 2026, 8:32 a.m.
Created at: March 22, 2026, 4:33 p.m.