Triple

T4288634
Position Surface form Disambiguated ID Type / Status
Subject Stevie Crawford E97332 entity
Predicate givenName P17 FINISHED
Object Stephen
Stephen is a masculine given name of Greek origin, commonly used in English-speaking countries and borne by numerous historical and contemporary figures.
 E83906 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: Stephen | Statement: [Stevie Crawford, givenName, Stephen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephen
Context triple: [Stevie Crawford, givenName, Stephen]
  • A. Stephen
    Stephen is the formal given name of Steve Wozniak, the American computer engineer and co-founder of Apple Inc.
  • B. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • C. Stephen
    Stephen is the full given name of former Scottish footballer and manager Steve Nicol, best known for his successful career with Liverpool FC in the 1980s and early 1990s.
  • D. Stephen
    Stephen is the given first name of English actor, comedian, and writer Steve Coogan.
  • E. Stephen
    Stephen is the first name of Grover Cleveland, the 22nd and 24th president of the United States.
  • 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: Stephen
Triple: [Stevie Crawford, givenName, Stephen]
Generated description
Stephen is a masculine given name of Greek origin, commonly used in English-speaking countries and borne by numerous historical and contemporary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephen
Target entity description: Stephen is a masculine given name of Greek origin, commonly used in English-speaking countries and borne by numerous historical and contemporary figures.
  • A. Stephen chosen
    Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
  • B. Stephen
    Stephen is the given name of Stephen Decatur, a renowned early 19th-century United States naval officer celebrated for his heroism in the Barbary Wars and the War of 1812.
  • C. Stephen
    Stephen is the given name of Stephen Strasburg, an American professional baseball pitcher known for his career with the Washington Nationals.
  • D. Stephen
    Stephen is the given first name of Steve Case, the American entrepreneur and co-founder of AOL.
  • E. Stephen
    Stephen is the formal given name of Steve Wozniak, the American computer engineer and co-founder of Apple Inc.
  • F. None of above.

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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35060b70081908479c95b2afe8ec5 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7307e3481909dfb55018f359589 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c89e8cf88190b0f783c28dc2abdb completed March 14, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69b5c8f368908190a660b113ceefb7fb completed March 14, 2026, 8:45 p.m.
Created at: March 12, 2026, 11:08 p.m.