Triple

T998702
Position Surface form Disambiguated ID Type / Status
Subject Saenz v. Roe E21553 entity
Predicate plaintiff P660 FINISHED
Object Roe
Roe is a party named in the U.S. Supreme Court case Saenz v. Roe, which addressed the constitutionality of state laws limiting welfare benefits for new residents.
 E118713 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: Roe | Statement: [Saenz v. Roe, plaintiff, Roe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roe
Context triple: [Saenz v. Roe, plaintiff, Roe]
  • A. Bille
    The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
  • B. Roro
    Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
  • C. Roos
    The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
  • D. Unangas
    Unangas are the Indigenous people of the Aleutian Islands and nearby regions of Alaska and Russia, known for their maritime culture and distinct Aleut language.
  • E. Rae
    Rae is a given name used across various cultures, often as a short form or variant of names like Rachel or Raymond.
  • 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: Roe
Triple: [Saenz v. Roe, plaintiff, Roe]
Generated description
Roe is a party named in the U.S. Supreme Court case Saenz v. Roe, which addressed the constitutionality of state laws limiting welfare benefits for new residents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roe
Target entity description: Roe is a party named in the U.S. Supreme Court case Saenz v. Roe, which addressed the constitutionality of state laws limiting welfare benefits for new residents.
  • A. Bille
    The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
  • B. Roro
    Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
  • C. Roos
    The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
  • D. Unangas
    Unangas are the Indigenous people of the Aleutian Islands and nearby regions of Alaska and Russia, known for their maritime culture and distinct Aleut language.
  • E. Rae
    Rae is a given name used across various cultures, often as a short form or variant of names like Rachel or Raymond.
  • 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.