Triple

T18542751
Position Surface form Disambiguated ID Type / Status
Subject The City Heiress E453140 entity
Predicate hasCharacter P2308 FINISHED
Object Charlot NE NERFINISHED

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: Charlot | Statement: [The City Heiress, hasCharacter, Charlot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlot
Context triple: [The City Heiress, hasCharacter, Charlot]
  • A. Charlot
    Charlot is a French surname borne by various notable individuals, including artists and public figures.
  • B. Gummo Marx
    Gummo Marx was an American vaudeville performer and the least publicly known of the Marx Brothers, who left show business early to serve in World War I and later became a successful theatrical agent.
  • C. Magoo
    Magoo was an American rapper best known as one half of the hip hop duo Timbaland & Magoo, active in the late 1990s and early 2000s.
  • D. Fernandel
    Fernandel was a beloved French comic actor and singer, famed for his expressive face and roles in classic mid-20th-century films such as the Don Camillo series.
  • E. Tati
    "Tati" is a 2018 hip-hop single by American rapper Tekashi 6ix9ine, known for its aggressive style and energetic delivery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b80fc081908488417787d1b166 completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.