Triple

T4496362
Position Surface form Disambiguated ID Type / Status
Subject Vanessa Kay Haydon E100704 entity
Predicate relative P37 FINISHED
Object Tiffany Trump E9382 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: Tiffany Trump | Statement: [Vanessa Kay Haydon, relative, Tiffany Trump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiffany Trump
Context triple: [Vanessa Kay Haydon, relative, Tiffany Trump]
  • A. Tiffany Trump chosen
    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.
  • B. Vanessa Trump
    Vanessa Trump is an American former model and ex-wife of Donald Trump Jr., known for her connection to the Trump family.
  • 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. Mary Trump
    Mary Trump is an American psychologist, author, and niece of former U.S. President Donald Trump, known for her critical memoir about 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56bf3ff48190b3aae0136d7fce45 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f6cf46c8190a4cd9075324ecc7d completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1 p.m.