Triple

T1969513
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Lynn Siebel E42765 entity
Predicate relative P37 FINISHED
Object Gavin Newsom E252 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: Gavin Newsom | Statement: [Jennifer Lynn Siebel, relative, Gavin Newsom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gavin Newsom
Context triple: [Jennifer Lynn Siebel, relative, Gavin Newsom]
  • A. Gavin Newsom chosen
    Gavin Newsom is an American politician and member of the Democratic Party who serves as the governor of California and is known for his progressive policies on issues such as climate change, healthcare, and social justice.
  • B. David Newsom
    David Newsom is a notable individual who shares the Newsom surname, recognized enough to be specifically distinguished as a bearer of the name.
  • C. Jerry Brown
    Jerry Brown is an American Democratic politician who served multiple terms as governor of California and ran several times for the U.S. presidency.
  • D. Newsom
    Newsom is a surname most prominently associated with American musician and songwriter Joanna Newsom.
  • E. Jennifer Siebel Newsom
    Jennifer Siebel Newsom is an American documentary filmmaker, actor, and advocate for gender equality who serves as the First Partner of California.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d17274819084cd352a3d2a8151 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae03211fe48190b70814bdd35e8a6b completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.