Triple

T2051179
Position Surface form Disambiguated ID Type / Status
Subject Mac OS X 10.0 Cheetah E45571 entity
Predicate codename P2980 FINISHED
Object Cheetah
Cheetah is the internal codename for Mac OS X 10.0, the first major release of Apple's Mac OS X operating system.
 E229048 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: Cheetah | Statement: [Mac OS X 10.0 Cheetah, codename, Cheetah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cheetah
Context triple: [Mac OS X 10.0 Cheetah, codename, Cheetah]
  • A. Lion
    Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
  • B. Lion
    Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
  • C. Lions
    Lions is the commonly used short name for the Brisbane Lions, a professional Australian rules football club based in Brisbane that competes in the Australian Football League (AFL).
  • D. Pecari
    Pecari is a genus of New World peccaries, medium-sized pig-like mammals native to the Americas.
  • E. Oryx gazella
    Oryx gazella, commonly known as the gemsbok, is a large, desert-adapted antelope native to arid regions of southern Africa, recognized for its long, straight horns and striking black-and-white facial markings.
  • 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: Cheetah
Triple: [Mac OS X 10.0 Cheetah, codename, Cheetah]
Generated description
Cheetah is the internal codename for Mac OS X 10.0, the first major release of Apple's Mac OS X operating system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cheetah
Target entity description: Cheetah is the internal codename for Mac OS X 10.0, the first major release of Apple's Mac OS X operating system.
  • A. Lion
    Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
  • B. Lion
    Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
  • C. Lions
    Lions is the commonly used short name for the Brisbane Lions, a professional Australian rules football club based in Brisbane that competes in the Australian Football League (AFL).
  • D. Pecari
    Pecari is a genus of New World peccaries, medium-sized pig-like mammals native to the Americas.
  • E. Oryx gazella
    Oryx gazella, commonly known as the gemsbok, is a large, desert-adapted antelope native to arid regions of southern Africa, recognized for its long, straight horns and striking black-and-white facial markings.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98f5f4881908d9aa0f10be44041 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2009951881909d562821fef39c88 completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20fbcd30819099499853d7dc2cc4 completed March 9, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_69ae216d450c8190ad2ecfdafa2354c7 completed March 9, 2026, 1:25 a.m.
Created at: March 4, 2026, 7:39 p.m.