Triple

T12768556
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Irvine E305186 entity
Predicate hasRelative P367 FINISHED
Object Christopher Smith
Christopher Smith is a relative of English actor Jeremy Irvine, known for his role in the film "War Horse."
 E1005429 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: Christopher Smith | Statement: [Jeremy Irvine, hasRelative, Christopher Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christopher Smith
Context triple: [Jeremy Irvine, hasRelative, Christopher Smith]
  • A. Christopher Smith
    Christopher Smith is an individual associated with online communities or organizations connected to the Internet.
  • B. Leo Smith
    Leo Smith is an American avant-garde jazz trumpeter and composer known for his innovative contributions to creative and experimental music.
  • C. Leo Smith
    Leo Smith is an education administrator who serves as the business administrator for the Bayonne School District, overseeing its financial and operational affairs.
  • D. Mark Smith
    Mark Smith is a renowned designer known for his influential work with Nike, including creating iconic basketball-related trophies and products.
  • E. Michael G. Smith
    Michael G. Smith is an American Episcopal bishop who has served as the ecclesiastical leader of the Episcopal Diocese of North Dakota.
  • 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: Christopher Smith
Triple: [Jeremy Irvine, hasRelative, Christopher Smith]
Generated description
Christopher Smith is a relative of English actor Jeremy Irvine, known for his role in the film "War Horse."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christopher Smith
Target entity description: Christopher Smith is a relative of English actor Jeremy Irvine, known for his role in the film "War Horse."
  • A. Christopher Smith
    Christopher Smith is an individual associated with online communities or organizations connected to the Internet.
  • B. Leo Smith
    Leo Smith is an American avant-garde jazz trumpeter and composer known for his innovative contributions to creative and experimental music.
  • C. Leo Smith
    Leo Smith is an education administrator who serves as the business administrator for the Bayonne School District, overseeing its financial and operational affairs.
  • D. Mark Smith
    Mark Smith is a renowned designer known for his influential work with Nike, including creating iconic basketball-related trophies and products.
  • E. Michael G. Smith
    Michael G. Smith is an American Episcopal bishop who has served as the ecclesiastical leader of the Episcopal Diocese of North Dakota.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb7e8448190a097d40ed8927285 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f6902f138c8190a94a01c1fbb30b57 completed May 3, 2026, midnight
NED2 Entity disambiguation (via description) batch_69f69138b40881909e9c74d6d922e1f3 completed May 3, 2026, 12:05 a.m.
Created at: April 9, 2026, 5:28 p.m.