Triple

T173949
Position Surface form Disambiguated ID Type / Status
Subject Governor of Guam E3537 entity
Predicate positionHeldBy P8 FINISHED
Object Lou Leon Guerrero
Lou Leon Guerrero is an American politician and former nurse who became the first female governor of Guam.
E26776 NE FINISHED

How this triple was built (4 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: Lou Leon Guerrero | Statement: [Governor of Guam, positionHeldBy, Lou Leon Guerrero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Leon Guerrero
Context triple: [Governor of Guam, positionHeldBy, Lou Leon Guerrero]
  • A. Cruz Bustamante
    Cruz Bustamante is an American Democratic politician who served as California’s first Latino lieutenant governor in over a century.
  • B. Ted Kulongoski
    Ted Kulongoski is an American Democratic politician and attorney who served as the 36th governor of Oregon from 2003 to 2011.
  • C. Luis Muñoz Marín
    Luis Muñoz Marín was the first democratically elected governor of Puerto Rico and a key architect of its mid-20th-century political and economic transformation.
  • D. Francisco González Bocanegra
    Francisco González Bocanegra was a 19th-century Mexican poet best known for writing the lyrics of Mexico’s national anthem.
  • E. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lou Leon Guerrero
Triple: [Governor of Guam, positionHeldBy, Lou Leon Guerrero]
Generated description
Lou Leon Guerrero is an American politician and former nurse who became the first female governor of Guam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lou Leon Guerrero
Target entity description: Lou Leon Guerrero is an American politician and former nurse who became the first female governor of Guam.
  • A. Cruz Bustamante
    Cruz Bustamante is an American Democratic politician who served as California’s first Latino lieutenant governor in over a century.
  • B. Ted Kulongoski
    Ted Kulongoski is an American Democratic politician and attorney who served as the 36th governor of Oregon from 2003 to 2011.
  • C. Luis Muñoz Marín
    Luis Muñoz Marín was the first democratically elected governor of Puerto Rico and a key architect of its mid-20th-century political and economic transformation.
  • D. Francisco González Bocanegra
    Francisco González Bocanegra was a 19th-century Mexican poet best known for writing the lyrics of Mexico’s national anthem.
  • E. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • F. None of above. chosen

Provenance (5 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258e32da88190ad9485aecd0bf08f completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a332c5dd9c8190af9debeb3fae0ff0 completed Feb. 28, 2026, 6:24 p.m.
NEDg Description generation batch_69a33326c71c81908c02320901915ce3 completed Feb. 28, 2026, 6:25 p.m.
NED2 Entity disambiguation (via description) batch_69a3338948808190b6fd60524c721fd5 completed Feb. 28, 2026, 6:27 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.