Triple

T7499256
Position Surface form Disambiguated ID Type / Status
Subject Su Rogers E177216 entity
Predicate hasGivenName P17 FINISHED
Object Su
Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
 E668074 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: Su | Statement: [Su Rogers, hasGivenName, Su]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Su
Context triple: [Su Rogers, hasGivenName, Su]
  • A. Su
    Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
  • B. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • C. Sy
    Sy is a Diameter-based interface in telecommunications networks used for policy and charging control between the PCRF and online charging systems.
  • D. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • E. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • 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: Su
Triple: [Su Rogers, hasGivenName, Su]
Generated description
Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Su
Target entity description: Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
  • A. Su
    Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
  • B. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • C. Sy
    Sy is a Diameter-based interface in telecommunications networks used for policy and charging control between the PCRF and online charging systems.
  • D. SU
    SU is the commonly used abbreviation for Stockholm University, a major public research university in Stockholm, Sweden.
  • E. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f597a0c08190b34fa283a11d98c7 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c900ad081908506a2097f7fd30b completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83d27190481909e6659ef83d3fde7 completed March 28, 2026, 8:42 p.m.
NED2 Entity disambiguation (via description) batch_69c83de0163c8190a16ea88ef24269d9 completed March 28, 2026, 8:45 p.m.
Created at: March 27, 2026, 3:44 p.m.