Triple

T1708177
Position Surface form Disambiguated ID Type / Status
Subject California State University, Long Beach E36917 entity
Predicate chancellor P325 FINISHED
Object Mildred García E8395 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: Mildred García | Statement: [California State University, Long Beach, chancellor, Mildred García]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mildred García
Context triple: [California State University, Long Beach, chancellor, Mildred García]
  • A. Mildred García chosen
    Mildred García is an American academic leader and administrator who serves as chancellor of the California State University system.
  • B. Bertha Navarro
    Bertha Navarro is a Mexican film producer best known for her long-time collaboration with director Guillermo del Toro on acclaimed genre and art-house films.
  • C. Mabel Pagán
    Mabel Pagán was the first wife of Puerto Rico’s prominent political leader and first elected governor, Luis Muñoz Marín.
  • D. Luisa Santiaga Márquez
    Luisa Santiaga Márquez was the mother of Colombian Nobel laureate Gabriel García Márquez and a key matriarchal figure who inspired several characters in his literary works.
  • E. Irma Becerra
    Irma Becerra is an academic leader and engineer who serves as the president of Marymount University, known for her work in higher education innovation and STEM.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63118618819085700fa84e362d60 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5bc1db881908e859dbde2ea2d98 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:30 p.m.