Triple

T17119952
Position Surface form Disambiguated ID Type / Status
Subject Sam Brownback E415437 entity
Predicate spouse P13 FINISHED
Object Mary Brownback
Mary Brownback is the wife of American politician and former Kansas governor Sam Brownback.
E1254743 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: Mary Brownback | Statement: [Sam Brownback, spouse, Mary Brownback]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Brownback
Context triple: [Sam Brownback, spouse, Mary Brownback]
  • A. Sam Brownback
    Sam Brownback is an American Republican politician and former governor of Kansas who also served in both the U.S. House of Representatives and the U.S. Senate.
  • B. Gary Sebelius
    Gary Sebelius is an American attorney and former U.S. magistrate judge, known in part as the husband of former Kansas governor and U.S. Health and Human Services Secretary Kathleen Sebelius.
  • C. Cecilia Abbott
    Cecilia Abbott is an American educator and the First Lady of Texas, married to Governor Greg Abbott.
  • D. Kim Reynolds
    Kim Reynolds is an American Republican politician serving as the governor of Iowa and known for her conservative policies on taxes, education, and public health.
  • E. Kathy Kraninger
    Kathy Kraninger is an American government official who served as Director of the Consumer Financial Protection Bureau under the Trump administration.
  • 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: Mary Brownback
Triple: [Sam Brownback, spouse, Mary Brownback]
Generated description
Mary Brownback is the wife of American politician and former Kansas governor Sam Brownback.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Brownback
Target entity description: Mary Brownback is the wife of American politician and former Kansas governor Sam Brownback.
  • A. Sam Brownback
    Sam Brownback is an American Republican politician and former governor of Kansas who also served in both the U.S. House of Representatives and the U.S. Senate.
  • B. Gary Sebelius
    Gary Sebelius is an American attorney and former U.S. magistrate judge, known in part as the husband of former Kansas governor and U.S. Health and Human Services Secretary Kathleen Sebelius.
  • C. Cecilia Abbott
    Cecilia Abbott is an American educator and the First Lady of Texas, married to Governor Greg Abbott.
  • D. Kim Reynolds
    Kim Reynolds is an American Republican politician serving as the governor of Iowa and known for her conservative policies on taxes, education, and public health.
  • E. Kathy Kraninger
    Kathy Kraninger is an American government official who served as Director of the Consumer Financial Protection Bureau under the Trump administration.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8092b548190b45c1695be47edc2 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01482af1288190b7fdc8a84d0edeaf completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014ce60ba88190869fef8a9a31cdfc completed May 11, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_6a014d6955d88190967ac5b3d2722ac0 completed May 11, 2026, 3:30 a.m.
Created at: April 10, 2026, 5:36 a.m.