Triple

T5337125
Position Surface form Disambiguated ID Type / Status
Subject Chief Operating Officer of Apple Inc. E123852 entity
Predicate hasAbbreviation P43 FINISHED
Object COO
COO is the executive role responsible for overseeing a company's day-to-day operations and implementing its business strategies.
 E511450 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: COO | Statement: [Chief Operating Officer of Apple Inc., hasAbbreviation, COO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: COO
Context triple: [Chief Operating Officer of Apple Inc., hasAbbreviation, COO]
  • A. COA
    COA is the ICAO airline designator formerly used by Continental Airlines, a major U.S. carrier that merged with United Airlines.
  • B. COA
    COA is the acronym for the Commission on Audit, the independent constitutional body in the Philippines responsible for auditing government funds and properties.
  • C. Coe
    Coe is a surname most prominently associated with Sebastian Coe, the British middle-distance running champion and influential sports administrator.
  • D. CO-ANT
    CO-ANT is the administrative region code for the Antioquia Department in Colombia, used to identify municipalities such as Turbo within that jurisdiction.
  • E. COU
    COU (Council of Ontario Universities) is a coordinating body that represents and advocates for Ontario’s publicly funded universities.
  • 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: COO
Triple: [Chief Operating Officer of Apple Inc., hasAbbreviation, COO]
Generated description
COO is the executive role responsible for overseeing a company's day-to-day operations and implementing its business strategies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: COO
Target entity description: COO is the executive role responsible for overseeing a company's day-to-day operations and implementing its business strategies.
  • A. COA
    COA is the ICAO airline designator formerly used by Continental Airlines, a major U.S. carrier that merged with United Airlines.
  • B. COA
    COA is the acronym for the Commission on Audit, the independent constitutional body in the Philippines responsible for auditing government funds and properties.
  • C. Coe
    Coe is a surname most prominently associated with Sebastian Coe, the British middle-distance running champion and influential sports administrator.
  • D. CO-ANT
    CO-ANT is the administrative region code for the Antioquia Department in Colombia, used to identify municipalities such as Turbo within that jurisdiction.
  • E. COU
    COU (Council of Ontario Universities) is a coordinating body that represents and advocates for Ontario’s publicly funded universities.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85b104c081908b81236a0142e1c8 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18c1e1f88190a47489a9491eaf08 completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf199394e08190948f70a9884a39b6 completed March 21, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_69bf19f186bc81908e378f61100417a9 completed March 21, 2026, 10:21 p.m.
Created at: March 20, 2026, 2 p.m.