Triple

T7425042
Position Surface form Disambiguated ID Type / Status
Subject Michael Crabtree E171346 entity
Predicate familyName P18 FINISHED
Object Crabtree
Crabtree is a surname of English origin borne by various notable individuals, including athletes, politicians, and artists.
E663319 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: Crabtree | Statement: [Michael Crabtree, familyName, Crabtree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crabtree
Context triple: [Michael Crabtree, familyName, Crabtree]
  • A. Woodberry
    Woodberry is a residential suburb located within the Maitland local government area in the Hunter Region of New South Wales, Australia.
  • B. Redbourn
    Redbourn is a historic village and civil parish in Hertfordshire, England, situated near St Albans and known for its traditional English countryside character.
  • C. Birchgrove
    Birchgrove is a harbourside inner-west suburb of Sydney, Australia, known for its waterfront views, historic homes, and proximity to the city centre.
  • D. Tattersett
    Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
  • E. Cantalice
    Cantalice is a small historic hill town in central Italy’s Lazio region, known for its medieval architecture and scenic position overlooking the surrounding countryside.
  • 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: Crabtree
Triple: [Michael Crabtree, familyName, Crabtree]
Generated description
Crabtree is a surname of English origin borne by various notable individuals, including athletes, politicians, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Crabtree
Target entity description: Crabtree is a surname of English origin borne by various notable individuals, including athletes, politicians, and artists.
  • A. Woodberry
    Woodberry is a residential suburb located within the Maitland local government area in the Hunter Region of New South Wales, Australia.
  • B. Redbourn
    Redbourn is a historic village and civil parish in Hertfordshire, England, situated near St Albans and known for its traditional English countryside character.
  • C. Birchgrove
    Birchgrove is a harbourside inner-west suburb of Sydney, Australia, known for its waterfront views, historic homes, and proximity to the city centre.
  • D. Tattersett
    Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
  • E. Cantalice
    Cantalice is a small historic hill town in central Italy’s Lazio region, known for its medieval architecture and scenic position overlooking the surrounding countryside.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f302b33481908eae877970f2bbdf completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f048e0c819080f51784e1099cac completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c81fd379cc81908b52c45fddea9870 completed March 28, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8209b7fa48190aea45a6b21ad8de1 completed March 28, 2026, 6:40 p.m.
Created at: March 27, 2026, 3:12 p.m.