Triple

T9959937
Position Surface form Disambiguated ID Type / Status
Subject Steve Largent E195541 entity
Predicate givenName P17 FINISHED
Object Stephen
Stephen is the given first name of former American football wide receiver and politician Steve Largent.
 E832909 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: [Steve Largent, givenName, Stephen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephen
Context triple: [Steve Largent, 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: [Steve Largent, givenName, Stephen]
Generated description
Stephen is the given first name of former American football wide receiver and politician Steve Largent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephen
Target entity description: Stephen is the given first name of former American football wide receiver and politician Steve Largent.
  • A. Stephen
    Stephen is the given first name of former NFL quarterback Steve McNair, who was a prominent American football player.
  • B. Stephen
    Stephen is the given first name of Steve Case, the American entrepreneur and co-founder of AOL.
  • 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 Stills, the American singer-songwriter and musician known for his work with Buffalo Springfield and Crosby, Stills, Nash & Young.
  • E. Stephen
    Stephen is the given first name of the iconic American actor and filmmaker Steve McQueen, known as the "King of Cool."
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d08fdc8190a77b9c97830035bc completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d867b408190ab630ae4af0fb827 completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23eb1c1f481908404225dcccd0697 completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d242aea6a08190a73a836e59865c35 completed April 5, 2026, 11:08 a.m.
Created at: March 30, 2026, 8:46 p.m.