Triple

T22103471
Position Surface form Disambiguated ID Type / Status
Subject The Pirate Queen E546225 entity
Predicate notableSong P4 FINISHED
Object The Pirate Queen 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: The Pirate Queen | Statement: [The Pirate Queen, notableSong, The Pirate Queen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Pirate Queen
Context triple: [The Pirate Queen, notableSong, The Pirate Queen]
  • A. The Pirate Queen chosen
    The Pirate Queen is a stage musical by Alain Boublil and Claude-Michel Schönberg that dramatizes the life of 16th-century Irish chieftain and pirate Grace O’Malley.
  • B. The King’s Pirate
    The King’s Pirate is a 1967 swashbuckling adventure film set in the 17th century, featuring high-seas action, romance, and intrigue.
  • C. The Pirate
    "The Pirate" is the colorful nickname of Mike Leach, the innovative and outspoken American college football coach known for his prolific Air Raid offense and fascination with pirate lore.
  • D. The Pirate
    The Pirate is a character known for his rebellious, seafaring outlaw persona, often depicted as a roguish adventurer living by his own code.
  • E. The Pirate
    The Pirate is a romantic musical comedy film best known for its vibrant Technicolor production and the iconic pairing of Judy Garland and Gene Kelly.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129175a7881909549883f23c53dca completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.