Triple

T15157072
Position Surface form Disambiguated ID Type / Status
Subject Girouard v. United States E362105 entity
Predicate petitioner P3132 FINISHED
Object Girouard
Girouard is the petitioner in the U.S. Supreme Court case Girouard v. United States, which addressed the eligibility for citizenship of conscientious objectors who refuse to bear arms.
E1140386 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: Girouard | Statement: [Girouard v. United States, petitioner, Girouard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girouard
Context triple: [Girouard v. United States, petitioner, Girouard]
  • A. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • B. Giraud
    Giraud is a French surname borne by various notable figures in French history and culture.
  • C. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • D. Guichard
    Guichard is the family name of French actress and model Clémence Poésy.
  • E. Girod
    Girod is a French surname and place name that appears as a variant of the name Giraud.
  • 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: Girouard
Triple: [Girouard v. United States, petitioner, Girouard]
Generated description
Girouard is the petitioner in the U.S. Supreme Court case Girouard v. United States, which addressed the eligibility for citizenship of conscientious objectors who refuse to bear arms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Girouard
Target entity description: Girouard is the petitioner in the U.S. Supreme Court case Girouard v. United States, which addressed the eligibility for citizenship of conscientious objectors who refuse to bear arms.
  • A. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • B. Giraud
    Giraud is a French surname borne by various notable figures in French history and culture.
  • C. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • D. Guichard
    Guichard is the family name of French actress and model Clémence Poésy.
  • E. Girod
    Girod is a French surname and place name that appears as a variant of the name Giraud.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060c62b08190bcdbd912d011d1ba completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff87b6c819097f5cc99b2d75fb6 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec1c2ce5c81909e2df69e4cf80344 completed May 9, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69fec25d50548190a056d6bb1297e780 completed May 9, 2026, 5:13 a.m.
Created at: April 10, 2026, 3:08 a.m.