Triple

T2674818
Position Surface form Disambiguated ID Type / Status
Subject Kees Cook E56432 entity
Predicate githubUsername P3930 FINISHED
Object kees
kees is the GitHub username of Kees Cook, a prominent Linux kernel developer and security engineer known for his work on hardening and exploit mitigation.
 E287681 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: kees | Statement: [Kees Cook, githubUsername, kees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: kees
Context triple: [Kees Cook, githubUsername, kees]
  • A. kes
    Kes is the title given to the traditional religious leaders and priests of the Ethiopian Jewish (Beta Israel) community.
  • B. Kar
    Kar is the young, streetwise pickpocket chosen as the reluctant successor to a mystical protector in the action film "Bulletproof Monk."
  • C. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • D. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • E. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • 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: kees
Triple: [Kees Cook, githubUsername, kees]
Generated description
kees is the GitHub username of Kees Cook, a prominent Linux kernel developer and security engineer known for his work on hardening and exploit mitigation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: kees
Target entity description: kees is the GitHub username of Kees Cook, a prominent Linux kernel developer and security engineer known for his work on hardening and exploit mitigation.
  • A. kes
    Kes is the title given to the traditional religious leaders and priests of the Ethiopian Jewish (Beta Israel) community.
  • B. Kar
    Kar is the young, streetwise pickpocket chosen as the reluctant successor to a mystical protector in the action film "Bulletproof Monk."
  • C. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • D. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • E. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b228cc819097f045b4a51d8e7c completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0638a9c8190b48ca5aa56eb66ff completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0e62fa08190bf278abfce54708d completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa1ca3b388190840e3b150468dc23 completed March 10, 2026, 4:44 a.m.
Created at: March 6, 2026, 9:54 p.m.