Triple

T3411159
Position Surface form Disambiguated ID Type / Status
Subject Simms E71896 entity
Predicate hasVariant P455 FINISHED
Object Sim
Sim is a given name and surname, often used as a short form of names like Simon or Simeon.
 E355480 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: Sim | Statement: [Simms, hasVariant, Sim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sim
Context triple: [Simms, hasVariant, Sim]
  • A. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • B. Sal
    Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
  • C. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • D. Ins
    Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
  • E. Simm
    Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
  • 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: Sim
Triple: [Simms, hasVariant, Sim]
Generated description
Sim is a given name and surname, often used as a short form of names like Simon or Simeon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sim
Target entity description: Sim is a given name and surname, often used as a short form of names like Simon or Simeon.
  • A. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • B. Sal
    Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
  • C. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • D. Ins
    Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
  • E. Simm
    Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9094b2881909262e58a470ed9d0 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bdf81e48190abac8ea645e929ce completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e4972008190af3b84f26b4a3629 completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc6c3f88190ba1a08243232df05 completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.