Triple

T9811168
Position Surface form Disambiguated ID Type / Status
Subject Lillian Carrillo E238273 entity
Predicate motherOf P120 FINISHED
Object Lita Grey E46655 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: Lita Grey | Statement: [Lillian Carrillo, motherOf, Lita Grey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lita Grey
Context triple: [Lillian Carrillo, motherOf, Lita Grey]
  • A. Lita Grey chosen
    Lita Grey was an American actress best known for her early silent-film work and her highly publicized, scandalous marriage to Charlie Chaplin as a teenager.
  • B. Lita
    Lita is a WWE Hall of Famer and pioneering women's professional wrestler known for her high-flying style and influential role in the evolution of women's wrestling.
  • C. Lita Baron
    Lita Baron was a Spanish-born American actress and nightclub singer active in Hollywood films and television during the mid-20th century.
  • D. Leona Vicario
    Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
  • E. Laura Grey
    Laura Grey is an American comedian, writer, and actress known for her work on satirical television and sketch comedy, as well as her collaborations with fellow comedian Jordan Klepper.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2214a7c8190b516acf64e2b85db completed April 2, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269b54d04819096ddc9f16a6db17b completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:30 p.m.