Triple

T566007
Position Surface form Disambiguated ID Type / Status
Subject Graham Chapman E13554 entity
Predicate givenName P17 FINISHED
Object Graham
Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
 E75501 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: Graham | Statement: [Graham Chapman, givenName, Graham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Graham
Context triple: [Graham Chapman, givenName, Graham]
  • A. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • B. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • C. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • D. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • E. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • 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: Graham
Triple: [Graham Chapman, givenName, Graham]
Generated description
Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Graham
Target entity description: Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
  • A. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • B. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • C. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • D. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • E. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a74793481908fee3baff0b1d348 completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a523853a648190bdf48e8148fa642b completed March 2, 2026, 5:43 a.m.
NEDg Description generation batch_69a5240e2fa8819099d13bf88b1eeddc completed March 2, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69a5246681e081909d4991614a5ff6d7 completed March 2, 2026, 5:47 a.m.
Created at: March 1, 2026, 7:32 p.m.