Triple

T13003498
Position Surface form Disambiguated ID Type / Status
Subject Saniyya Sidney E322226 entity
Predicate characterIn P12208 FINISHED
Object King Richard E573508 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: King Richard | Statement: [Saniyya Sidney, characterIn, King Richard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Richard
Context triple: [Saniyya Sidney, characterIn, King Richard]
  • A. King Richard chosen
    "King Richard" is a 2021 biographical sports drama film about Richard Williams, the determined father and coach of tennis champions Venus and Serena Williams.
  • B. Clarence
    Clarence is a small rural settlement in New Zealand’s South Island, known for its coastal location near the Kaikōura Ranges and popular river for rafting.
  • C. Clarence
    Clarence is a masculine given name of Latin origin, commonly used in English-speaking countries.
  • D. Alexander King
    Alexander King was a Scottish chemist and international civil servant best known for co-founding the Club of Rome and promoting global environmental and sustainability awareness.
  • E. Edward
    Edward is a masculine given name of English origin, historically associated with kings of England and notable figures such as U.S. Senator Edward M. Kennedy.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9a2a448190968833354280e474 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f6c4e081909f035260462015b1 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:47 p.m.