Triple

T22670413
Position Surface form Disambiguated ID Type / Status
Subject Leave Home E559902 entity
Predicate notableSong P4 FINISHED
Object Commando NE NERFINISHED

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: Commando | Statement: [Leave Home, notableSong, Commando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Commando
Context triple: [Leave Home, notableSong, Commando]
  • A. Commando
    Commando is a 1985 action film starring Arnold Schwarzenegger as a retired special forces colonel who wages a one-man war to rescue his kidnapped daughter.
  • B. Commando
    Commando is the nickname of the Curtiss C-46, a World War II-era American twin-engine transport aircraft widely used for military cargo and troop transport.
  • C. Commando chosen
    "Commando" is a fast, politically charged punk rock song by the Ramones, known for its militaristic themes and concise, high-energy style.
  • D. Commando
    "Commando" is a popular Afrobeats song by Ghanaian singer King Promise, known for its smooth melodies and romantic themes.
  • E. Commando
    Commando is a fast-paced, action-oriented character class or unit type typically associated with high mobility and close-quarters combat in the game "Bliss."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781f946c8190add74a7dac2b1819 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.