Triple

T14195830
Position Surface form Disambiguated ID Type / Status
Subject Talia E351832 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Taliya E1084896 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: Taliya | Statement: [Talia, hasAlternativeSpelling, Taliya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taliya
Context triple: [Talia, hasAlternativeSpelling, Taliya]
  • A. Tiffah
    Tiffah is a celebrity child known as the daughter of Tanzanian musician Diamond Platnumz and Ugandan socialite Zari Hassan.
  • B. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • C. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • D. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • E. Talya chosen
    Talya is a feminine given name used in various cultures, often considered a variant of names like Talia and associated with meanings such as “dew from God” or “morning dew.”
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324b86748190b3e0a39383969cc7 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:04 a.m.