Triple

T8498411
Position Surface form Disambiguated ID Type / Status
Subject Stephen Mirrione E201154 entity
Predicate givenName P17 FINISHED
Object Stephen
Stephen is a masculine given name of Greek origin, commonly used in English-speaking countries and derived from a word meaning "crown" or "garland."
 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: [Stephen Mirrione, givenName, Stephen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephen
Context triple: [Stephen Mirrione, 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 given name of Stephen Marley, a Jamaican musician and son of reggae legend Bob Marley.
  • 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: [Stephen Mirrione, givenName, Stephen]
Generated description
Stephen is a masculine given name of Greek origin, commonly used in English-speaking countries and derived from a word meaning "crown" or "garland."
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 derived from a word meaning "crown" or "garland."
  • 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 Marley, a Jamaican musician and son of reggae legend Bob Marley.
  • 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 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.
  • E. Stephen
    Stephen is the given name of Stephen Jay Gould, the influential American paleontologist, evolutionary biologist, and science writer.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe583aebc819090345684bfa1fca2 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e0aa7788190abd7bb259966bc44 completed April 2, 2026, 11:07 a.m.
NEDg Description generation batch_69ce4ff668d4819081f4c3186437291b completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce54cc52cc81908ca48c93956ca86e completed April 2, 2026, 11:36 a.m.
Created at: March 30, 2026, 6:14 p.m.