Triple

T7848953
Position Surface form Disambiguated ID Type / Status
Subject Marla Maples E181994 entity
Predicate familyName P18 FINISHED
Object Maples E181994 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: Maples | Statement: [Marla Maples, familyName, Maples]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maples
Context triple: [Marla Maples, familyName, Maples]
  • A. Maples chosen
    Maples is the surname of Marla Maples, an American actress and television personality best known as the second wife of former U.S. President Donald Trump.
  • B. Jack Maple
    Jack Maple was an influential New York City transit police officer and crime strategist best known for co-developing the CompStat system that transformed modern policing.
  • C. Birch
    Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
  • D. Maple
    Maple is a comprehensive computer algebra system used for symbolic and numeric mathematics, modeling, and technical computing across education and research.
  • E. Sycamores
    Sycamores is the nickname for Indiana State University's men's basketball team, known for its collegiate competition in NCAA Division I.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e7f5988190808ae4dcfbc06991 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0515c08190b866a39749d54849 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:50 p.m.