Triple

T10553838
Position Surface form Disambiguated ID Type / Status
Subject Love Don't Cost a Thing E249022 entity
Predicate mainCharacter P1183 FINISHED
Object Paris Morgan E582611 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: Paris Morgan | Statement: [Love Don't Cost a Thing, mainCharacter, Paris Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris Morgan
Context triple: [Love Don't Cost a Thing, mainCharacter, Paris Morgan]
  • A. Paris Morgan chosen
    Paris Morgan is the popular high-school love interest portrayed by Christina Milian in the 2003 teen romantic comedy film "Love Don't Cost a Thing."
  • B. Jane Morgan
    Jane Morgan is an American traditional pop singer who gained popularity in the 1950s and 1960s with a series of hit recordings in both the United States and Europe.
  • C. Mary Coddington
    Mary Coddington was the wife of colonial merchant and politician William Trent, associated with early 18th-century Pennsylvania and New Jersey society.
  • D. Sarah Winston
    Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
  • E. Mia Morgan
    Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d527118da081909ca61bc555a17609 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9346f6a38819087647e7a09f40c41 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:34 p.m.