Triple

T998703
Position Surface form Disambiguated ID Type / Status
Subject Saenz v. Roe E21553 entity
Predicate defendant P2238 FINISHED
Object Saenz
Saenz is the lead plaintiff in the U.S. Supreme Court case Saenz v. Roe, which addressed the constitutional right to travel and state limits on welfare benefits for new residents.
 E118714 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: Saenz | Statement: [Saenz v. Roe, defendant, Saenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saenz
Context triple: [Saenz v. Roe, defendant, Saenz]
  • A. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • C. Martínez
    Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
  • D. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • E. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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: Saenz
Triple: [Saenz v. Roe, defendant, Saenz]
Generated description
Saenz is the lead plaintiff in the U.S. Supreme Court case Saenz v. Roe, which addressed the constitutional right to travel and state limits on welfare benefits for new residents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saenz
Target entity description: Saenz is the lead plaintiff in the U.S. Supreme Court case Saenz v. Roe, which addressed the constitutional right to travel and state limits on welfare benefits for new residents.
  • A. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • C. Martínez
    Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
  • D. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • E. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4e2ad9c81908a0f488d3f261fc3 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a1aab68819091537958818fce48 completed March 7, 2026, 1:37 p.m.
NEDg Description generation batch_69ac2a9b66b48190a3c14c431fe41c1e completed March 7, 2026, 1:39 p.m.
NED2 Entity disambiguation (via description) batch_69ac2b18ea44819086cd9ead0d8e0d01 completed March 7, 2026, 1:41 p.m.
Created at: March 1, 2026, 7:41 p.m.