Triple

T1496271
Position Surface form Disambiguated ID Type / Status
Subject Charles Pearre Cabell E29693 entity
Predicate middleName P143 FINISHED
Object Pearre
Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
 E174477 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: Pearre | Statement: [Charles Pearre Cabell, middleName, Pearre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pearre
Context triple: [Charles Pearre Cabell, middleName, Pearre]
  • A. Lechmere
    Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
  • B. Edenborn
    Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
  • C. Mortain
    Mortain is a town in Normandy, France, known as the focal point of a major German counteroffensive during the Battle of Normandy in World War II.
  • D. Mandeville
    Mandeville is a prominent inland town in central Jamaica known for its cool climate, colonial-era architecture, and role as the capital of Manchester Parish.
  • E. Mandeville
    Mandeville is a novel by William Godwin that explores themes of psychological trauma, obsession, and the impact of social and political forces on individual character.
  • 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: Pearre
Triple: [Charles Pearre Cabell, middleName, Pearre]
Generated description
Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pearre
Target entity description: Pearre is a given name used as the middle name of U.S. Air Force General Charles Pearre Cabell.
  • A. Lechmere
    Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
  • B. Edenborn
    Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
  • C. Mortain
    Mortain is a town in Normandy, France, known as the focal point of a major German counteroffensive during the Battle of Normandy in World War II.
  • D. Mandeville
    Mandeville is a novel by William Godwin that explores themes of psychological trauma, obsession, and the impact of social and political forces on individual character.
  • E. Mandeville
    Mandeville is a prominent inland town in central Jamaica known for its cool climate, colonial-era architecture, and role as the capital of Manchester Parish.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ec70c48190a94f6e1002848eae completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2943545c8190a2246a41d712528b completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad29dc9fd08190b67527f0662c92dc completed March 8, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a4d71a88190b67ed21beebbb479 completed March 8, 2026, 7:50 a.m.
Created at: March 1, 2026, 8:12 p.m.