Triple

T22576743
Position Surface form Disambiguated ID Type / Status
Subject Marco Polo E544419 entity
Predicate associatedAct P37 FINISHED
Object Torae 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: Torae | Statement: [Marco Polo, associatedAct, Torae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torae
Context triple: [Marco Polo, associatedAct, Torae]
  • A. Torae chosen
    Torae is an American underground hip-hop rapper and songwriter known for his gritty lyricism and collaborations with prominent New York emcees and producers.
  • B. Toaripi
    Toaripi is a given name most notably borne by Toaripi Lauti, a political figure from Tuvalu.
  • C. Torit
    Torit is a town in southeastern South Sudan that played a pivotal role in the country’s history as the site of the 1955 mutiny often seen as a precursor to the First Sudanese Civil War.
  • D. Tora
    Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
  • E. Tora
    Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fedbddc8190bc50458a76f5407d completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.