Triple

T4183149
Position Surface form Disambiguated ID Type / Status
Subject Eric Trump E88241 entity
Predicate spouse P13 FINISHED
Object Lara Trump E14536 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: Lara Trump | Statement: [Eric Trump, spouse, Lara Trump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lara Trump
Context triple: [Eric Trump, spouse, Lara Trump]
  • A. Lara Trump chosen
    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.
  • 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. Ivanka Trump
    Ivanka Trump is an American businesswoman, former fashion model, and political advisor who served as a senior advisor to her father, President Donald Trump, during his administration.
  • 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. Maryanne Trump Barry
    Maryanne Trump Barry is an American attorney and retired federal judge, best known as the elder sister of former U.S. President Donald Trump.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0307a0b481909c7287402a8c78c4 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a849cdac8190b12ac2a0e42c3b53 completed March 14, 2026, 6:26 p.m.
Created at: March 9, 2026, 3:45 p.m.