Triple

T14539179
Position Surface form Disambiguated ID Type / Status
Subject bpftrace E341123 entity
Predicate typicalUser P10804 FINISHED
Object SREs
SREs (Site Reliability Engineers) are engineers who apply software engineering principles to operations and infrastructure to ensure services are reliable, scalable, and efficient in production.
 E1103995 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: SREs | Statement: [bpftrace, typicalUser, SREs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SREs
Context triple: [bpftrace, typicalUser, SREs]
  • A. SRE
    SRE is the IATA airport code for Alcantarí International Airport, which serves the city of Sucre in Bolivia.
  • B. SRE
    SRE is the Spanish acronym for Mexico’s Secretariat of Foreign Affairs, the federal ministry responsible for conducting the country’s international relations and diplomacy.
  • C. Sre
    Sre is an Austroasiatic language spoken by the Sre (Koho) people of Vietnam’s Central Highlands, belonging to the Bahnaric branch.
  • D. SRES
    SRES is the School of Resources and Environmental Science at Wuhan University, a faculty focused on education and research in natural resources, geography, and environmental science.
  • E. SREN
    SREN is the stock ticker symbol for Swiss Re, one of the world’s largest reinsurance companies headquartered in Zurich, Switzerland.
  • 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: SREs
Triple: [bpftrace, typicalUser, SREs]
Generated description
SREs (Site Reliability Engineers) are engineers who apply software engineering principles to operations and infrastructure to ensure services are reliable, scalable, and efficient in production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SREs
Target entity description: SREs (Site Reliability Engineers) are engineers who apply software engineering principles to operations and infrastructure to ensure services are reliable, scalable, and efficient in production.
  • A. SRE
    SRE is the IATA airport code for Alcantarí International Airport, which serves the city of Sucre in Bolivia.
  • B. SRE
    SRE is the Spanish acronym for Mexico’s Secretariat of Foreign Affairs, the federal ministry responsible for conducting the country’s international relations and diplomacy.
  • C. Sre
    Sre is an Austroasiatic language spoken by the Sre (Koho) people of Vietnam’s Central Highlands, belonging to the Bahnaric branch.
  • D. SRES
    SRES is the School of Resources and Environmental Science at Wuhan University, a faculty focused on education and research in natural resources, geography, and environmental science.
  • E. SREN
    SREN is the stock ticker symbol for Swiss Re, one of the world’s largest reinsurance companies headquartered in Zurich, Switzerland.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7b1452d48190b95187cc6b6e5b6a completed May 8, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69fd7b9387988190abb20ea06c04d6cc completed May 8, 2026, 5:58 a.m.
Created at: April 10, 2026, 1:22 a.m.