Triple

T622210
Position Surface form Disambiguated ID Type / Status
Subject Lara Trump E14536 entity
Predicate hasRelative P367 FINISHED
Object Carolina Trump E65242 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: Carolina Trump | Statement: [Lara Trump, hasRelative, Carolina Trump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carolina Trump
Context triple: [Lara Trump, hasRelative, Carolina Trump]
  • A. Carolina Dorothy Trump chosen
    Carolina Dorothy Trump is a young member of the Trump family and the daughter of American businessman and political figure Eric Trump.
  • B. Tiffany Trump
    Tiffany Trump is an American public figure and the younger daughter of former U.S. President Donald Trump, known for her appearances in media and involvement in politics and law.
  • C. Elizabeth Trump Grau
    Elizabeth Trump Grau is an American former banker and member of the Trump family, known as the sister of former U.S. President Donald Trump.
  • D. Vanessa Trump
    Vanessa Trump is an American former model and ex-wife of Donald Trump Jr., known for her connection to the Trump family.
  • E. Lara Trump
    Lara Trump is an American television producer and political figure, known as the wife of Eric Trump and a prominent surrogate and adviser in Donald Trump’s political campaigns.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e402d9c8190936896e3ebb6edc5 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654d19b108190a4777dce9def7579 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:35 p.m.