Triple

T12378512
Position Surface form Disambiguated ID Type / Status
Subject Grace E295685 entity
Predicate hasVariant P455 FINISHED
Object Grayce E99089 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: Grayce | Statement: [Grace, hasVariant, Grayce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grayce
Context triple: [Grace, hasVariant, Grayce]
  • A. Gracie chosen
    Gracie is a given name, often used as a diminutive of Grace.
  • B. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • C. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • D. Kaydence
    Kaydence is an American songwriter and producer best known for co-writing major pop and R&B hits, including Ariana Grande’s chart-topping single "7 Rings."
  • E. Jory
    Jory is a surname most notably associated with Victor Jory, a Canadian-born American actor known for his distinctive voice and frequent roles as a villain in mid-20th-century film and television.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fb9eca48190aa6612ffc5ed0df2 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634760210819080bc0261aa059132 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.