Triple

T487117
Position Surface form Disambiguated ID Type / Status
Subject George B. McClellan E9901 entity
Predicate nickname P55 FINISHED
Object Little Mac
Little Mac is the nickname of George B. McClellan, a prominent Union general and organizer of the Army of the Potomac during the American Civil War.
E60978 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: Little Mac | Statement: [George B. McClellan, nickname, Little Mac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Mac
Context triple: [George B. McClellan, nickname, Little Mac]
  • A. Lennox Cato
    Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
  • B. Derek Nurse
    Derek Nurse is a fictional Canadian hockey player and one of the main comedic characters on the television series "Letterkenny."
  • C. Ray
    Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • 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: Little Mac
Triple: [George B. McClellan, nickname, Little Mac]
Generated description
Little Mac is the nickname of George B. McClellan, a prominent Union general and organizer of the Army of the Potomac during the American Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Little Mac
Target entity description: Little Mac is the nickname of George B. McClellan, a prominent Union general and organizer of the Army of the Potomac during the American Civil War.
  • A. Lennox Cato
    Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
  • B. Derek Nurse
    Derek Nurse is a fictional Canadian hockey player and one of the main comedic characters on the television series "Letterkenny."
  • C. Ray
    Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0de66308190a18503a482881cfc completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47471e5ac8190acfed4803183f11a completed March 1, 2026, 5:16 p.m.
NEDg Description generation batch_69a476527a6881909cc06330ae6bcbcb completed March 1, 2026, 5:24 p.m.
NED2 Entity disambiguation (via description) batch_69a4769c31f081909bc74682ed6fd9d6 completed March 1, 2026, 5:25 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.