Triple

T8110943
Position Surface form Disambiguated ID Type / Status
Subject Moira Kelly E189346 entity
Predicate portrayedCharacter P1668 FINISHED
Object Mandy Hampton E564382 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: Mandy Hampton | Statement: [Moira Kelly, portrayedCharacter, Mandy Hampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandy Hampton
Context triple: [Moira Kelly, portrayedCharacter, Mandy Hampton]
  • A. Mandy Hampton chosen
    Mandy Hampton is a fictional media consultant and political adviser who appears as a main character in the early episodes of the television drama "The West Wing."
  • B. Mandy Meyer
    Mandy Meyer is a Swiss rock guitarist best known for his work with bands like Krokus, Asia, and Gotthard.
  • C. Mandy Teefey
    Mandy Teefey is an American film producer and manager best known as the mother of singer and actress Selena Gomez and for co-founding the mental health platform Wondermind.
  • D. Mandy Walker
    Mandy Walker is an acclaimed Australian cinematographer known for her visually striking work on major feature films.
  • E. Amanda Clayton
    Amanda Clayton is an American actress best known for her role in the crime drama television series "City on a Hill."
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fcfb9c81908496f9a7e30d0d8a completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf5120159881908361bf9cb81e3932 completed April 3, 2026, 5:33 a.m.
Created at: March 30, 2026, 5:32 p.m.