Triple

T3115538
Position Surface form Disambiguated ID Type / Status
Subject John Simm E65053 entity
Predicate familyName P18 FINISHED
Object Simm
Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
 E327668 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: Simm | Statement: [John Simm, familyName, Simm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Simm
Context triple: [John Simm, familyName, Simm]
  • A. Simo
    Simo is a Finnish given name most famously borne by Simo Häyhä, a legendary World War II sniper.
  • B. Simele
    Simele is a town in the Dohuk Governorate of Iraqi Kurdistan, historically known as the site of the 1933 massacre of Assyrian Christians.
  • C. Simbo
    Simbo is an Oceanic language of the Meso-Melanesian subgroup spoken on Simbo Island in the Solomon Islands.
  • D. Sikma
    Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
  • E. Forio
    Forio is a coastal town and popular tourist resort on the Italian island of Ischia, known for its beaches, thermal springs, and historic architecture.
  • 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: Simm
Triple: [John Simm, familyName, Simm]
Generated description
Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Simm
Target entity description: Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
  • A. Simo
    Simo is a Finnish given name most famously borne by Simo Häyhä, a legendary World War II sniper.
  • B. Simele
    Simele is a town in the Dohuk Governorate of Iraqi Kurdistan, historically known as the site of the 1933 massacre of Assyrian Christians.
  • C. Simbo
    Simbo is an Oceanic language of the Meso-Melanesian subgroup spoken on Simbo Island in the Solomon Islands.
  • D. Sikma
    Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
  • E. Forio
    Forio is a coastal town and popular tourist resort on the Italian island of Ischia, known for its beaches, thermal springs, and historic architecture.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e40bc48190b9b17c706a2450d5 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2039d9d408190b01e45f0ced5ca3d completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b20547c0008190ac2589f54111bad9 completed March 12, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69b205bdf5c881908bc6ef7c3c30df65 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:04 p.m.