Triple

T2511227
Position Surface form Disambiguated ID Type / Status
Subject Cyril Radcliffe E52702 entity
Predicate honorificSuffix P341 FINISHED
Object QC
QC (Queen's Counsel) is a prestigious rank awarded to senior barristers in some Commonwealth legal systems, recognizing their excellence and leadership in advocacy.
 E273606 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: QC | Statement: [Cyril Radcliffe, honorificSuffix, QC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QC
Context triple: [Cyril Radcliffe, honorificSuffix, QC]
  • A. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • B. The QC
    The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
  • C. QA
    QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
  • D. QA
    QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
  • E. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • 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: QC
Triple: [Cyril Radcliffe, honorificSuffix, QC]
Generated description
QC (Queen's Counsel) is a prestigious rank awarded to senior barristers in some Commonwealth legal systems, recognizing their excellence and leadership in advocacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QC
Target entity description: QC (Queen's Counsel) is a prestigious rank awarded to senior barristers in some Commonwealth legal systems, recognizing their excellence and leadership in advocacy.
  • A. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • B. The QC
    The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
  • C. QA
    QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
  • D. QA
    QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
  • E. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1eeaaac8190a6652861dd42e6b9 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fac64a881909ed527a7c50ba720 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af24a761288190bc561221a535ec9b completed March 9, 2026, 7:51 p.m.
NED2 Entity disambiguation (via description) batch_69af255ab75c81909f80585c952b2c9f completed March 9, 2026, 7:54 p.m.
Created at: March 6, 2026, 9:46 p.m.