Triple

T7848945
Position Surface form Disambiguated ID Type / Status
Subject Marla E181993 entity
Predicate notableBearer P458 FINISHED
Object Marla Maples E34532 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: Marla Maples | Statement: [Marla, notableBearer, Marla Maples]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marla Maples
Context triple: [Marla, notableBearer, Marla Maples]
  • A. Marla Maples chosen
    Marla Maples is an American actress and television personality best known for her high-profile marriage to businessman and future U.S. President Donald Trump in the 1990s.
  • B. Cheryl Malone
    Cheryl Malone is a notable individual recognized for achievements significant enough to be associated with the Malone surname.
  • C. Marge Thompson
    Marge Thompson is a character in the horror film "A Nightmare on Elm Street," known as Nancy Thompson’s troubled mother who hides dark secrets about Freddy Krueger’s past.
  • D. Jeanne Weaver
    Jeanne Weaver is a member of the 2nd Massachusetts Militia Regiment, a state military unit associated with Massachusetts.
  • E. Gail Bartlett
    Gail Bartlett is known as the wife of former Dallas mayor and U.S. Congressman Steve Bartlett.
  • 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_69ccec5f00b48190b35f7cab67e7e5f9 completed April 1, 2026, 9:58 a.m.
Created at: March 30, 2026, 4:50 p.m.