Triple

T256230
Position Surface form Disambiguated ID Type / Status
Subject Operation Dragoon E5442 entity
Predicate commander P1061 FINISHED
Object Alexander Patch
Alexander Patch was a senior U.S. Army general in World War II who led American forces in major European campaigns, including the invasion of southern France.
 E33070 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: Alexander Patch | Statement: [Operation Dragoon, commander, Alexander Patch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alexander Patch
Context triple: [Operation Dragoon, commander, Alexander Patch]
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • C. Chevak
    Chevak is a distinct dialect of the Central Alaskan Yup’ik language spoken primarily in the village of Chevak in western Alaska.
  • D. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • E. Al Reser
    Al Reser was an American businessman and Oregon State University alumnus best known as the longtime head of Reser's Fine Foods and a major benefactor of OSU athletics.
  • 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: Alexander Patch
Triple: [Operation Dragoon, commander, Alexander Patch]
Generated description
Alexander Patch was a senior U.S. Army general in World War II who led American forces in major European campaigns, including the invasion of southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alexander Patch
Target entity description: Alexander Patch was a senior U.S. Army general in World War II who led American forces in major European campaigns, including the invasion of southern France.
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • C. Chevak
    Chevak is a distinct dialect of the Central Alaskan Yup’ik language spoken primarily in the village of Chevak in western Alaska.
  • D. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • E. Al Reser
    Al Reser was an American businessman and Oregon State University alumnus best known as the longtime head of Reser's Fine Foods and a major benefactor of OSU athletics.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d5884c88190a349d7593b688921 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a37958242c81909d114fba70b4211c completed Feb. 28, 2026, 11:25 p.m.
NEDg Description generation batch_69a379b2662c81909903c43b544dda06 completed Feb. 28, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69a37a5bdbb08190a0b8a053adc6c797 completed Feb. 28, 2026, 11:29 p.m.
Created at: Feb. 28, 2026, 2:55 a.m.