Triple

T2407144
Position Surface form Disambiguated ID Type / Status
Subject Golden Gate National Cemetery E50301 entity
Predicate hasGraveOf P196 FINISHED
Object James D. La Belle
James D. La Belle was a United States Marine and Medal of Honor recipient who was killed in action during World War II.
 E430122 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: James D. La Belle | Statement: [Golden Gate National Cemetery, hasGraveOf, James D. La Belle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James D. La Belle
Context triple: [Golden Gate National Cemetery, hasGraveOf, James D. La Belle]
  • A. William M. Rice
    William M. Rice was an American businessman and philanthropist best known as the founder and namesake of Rice University in Houston, Texas.
  • B. James L. Wilmeth
    James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
  • C. John M. Balch
    John M. Balch was an individual significant enough in local history that the city of Balch Springs, Texas, was named in his honor.
  • D. Allen M. Davey
    Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
  • E. Robert J. Wynne
    Robert J. Wynne was an American journalist and public official who served in senior federal financial and postal administration roles in the early 20th century.
  • 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: James D. La Belle
Triple: [Golden Gate National Cemetery, hasGraveOf, James D. La Belle]
Generated description
James D. La Belle was a United States Marine and Medal of Honor recipient who was killed in action during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James D. La Belle
Target entity description: James D. La Belle was a United States Marine and Medal of Honor recipient who was killed in action during World War II.
  • A. William M. Rice
    William M. Rice was an American businessman and philanthropist best known as the founder and namesake of Rice University in Houston, Texas.
  • B. James L. Wilmeth
    James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
  • C. John M. Balch
    John M. Balch was an individual significant enough in local history that the city of Balch Springs, Texas, was named in his honor.
  • D. Allen M. Davey
    Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
  • E. Robert J. Wynne
    Robert J. Wynne was an American journalist and public official who served in senior federal financial and postal administration roles in the early 20th century.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fcd3008190b27325e6829ae7ce completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0232d78819084fbc7c1d229c83c completed March 14, 2026, 9:16 p.m.
NEDg Description generation batch_69b5d0cbc000819088f22bba5dcee7eb completed March 14, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69b5d172e0448190bd323d79f4b36d28 completed March 14, 2026, 9:21 p.m.
Created at: March 4, 2026, 7:58 p.m.