Triple

T14811070
Position Surface form Disambiguated ID Type / Status
Subject Trinidad Cardona E348177 entity
Predicate Hayya Hayya (Better Together)AlsoFeatures P9649 FINISHED
Object Aisha E348178 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: Aisha | Statement: [Trinidad Cardona, Hayya Hayya (Better Together)AlsoFeatures, Aisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aisha
Context triple: [Trinidad Cardona, Hayya Hayya (Better Together)AlsoFeatures, Aisha]
  • A. Aisha
    Aisha is a central female character in Naguib Mahfouz’s novel "Palace of Desire," whose relationships and personal struggles reflect the broader social and emotional tensions of early 20th-century Cairo.
  • B. Aisha
    Aisha is a prominent early Islamic figure known as a wife of the Prophet Muhammad and a significant transmitter of hadith.
  • C. Aisha chosen
    Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
  • D. Aisha
    Aisha is a skilled and enigmatic operative who joins the elite black-ops team in the action film "The Losers" (2010).
  • E. Aisha
    Aisha is a female given name of Arabic origin commonly used across the Muslim world and beyond.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf374f288190aa918b1b6b507420 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b47389c8190ab0a46e3b4653a2a completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:46 a.m.