Triple

T6379421
Position Surface form Disambiguated ID Type / Status
Subject Run for Cover E143542 entity
Predicate notableSingle P3283 FINISHED
Object Military Man E588437 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: Military Man | Statement: [Run for Cover, notableSingle, Military Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Military Man
Context triple: [Run for Cover, notableSingle, Military Man]
  • A. Military Man chosen
    "Military Man" is a song by the Irish hard rock band Thin Lizzy, featured on their 1975 album "Fighting."
  • B. the Soldier
    The Soldier is a secondary figure in Franz Kafka’s short story "In the Penal Colony," representing the unquestioning enforcer of a brutal and dehumanizing execution apparatus.
  • C. Airman
    Airman is a young adult historical adventure novel by Eoin Colfer that follows a falsely accused boy’s daring quest for freedom and justice using his obsession with flight.
  • D. Soldier
    "Soldier" is a pop-rock song by American singer-songwriter Gavin DeGraw, known for its heartfelt lyrics and soulful vocal delivery.
  • E. G.I. (U.S. soldier)
    G.I. (U.S. soldier) is a common term for enlisted members of the United States Army, especially those serving as infantry or ground troops, widely used during World War II and later conflicts.
  • 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_69c63874aba88190a543f21e968fbc06 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:33 p.m.