Triple

T4276439
Position Surface form Disambiguated ID Type / Status
Subject Starlette E97056 entity
Predicate developer P73 FINISHED
Object Encode OSS
Encode OSS is an open-source software organization best known for creating high-performance Python web frameworks and tools such as Starlette and HTTPX.
 E426646 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: Encode OSS | Statement: [Starlette, developer, Encode OSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Encode OSS
Context triple: [Starlette, developer, Encode OSS]
  • A. OSS
    OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
  • B. OSS Society
    The OSS Society is a nonprofit organization dedicated to honoring the legacy and preserving the history of the World War II-era Office of Strategic Services and its role in U.S. intelligence and special operations.
  • C. oss
    oss is the ISO 639-3 language code for the Ossetian (Iron) language spoken primarily in the Caucasus region.
  • D. OSSE
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • E. OSSPI
    OSSPI is a U.S. federal office that leads government-wide efforts to improve performance, customer experience, and shared services across agencies.
  • 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: Encode OSS
Triple: [Starlette, developer, Encode OSS]
Generated description
Encode OSS is an open-source software organization best known for creating high-performance Python web frameworks and tools such as Starlette and HTTPX.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Encode OSS
Target entity description: Encode OSS is an open-source software organization best known for creating high-performance Python web frameworks and tools such as Starlette and HTTPX.
  • A. OSS
    OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
  • B. OSS Society
    The OSS Society is a nonprofit organization dedicated to honoring the legacy and preserving the history of the World War II-era Office of Strategic Services and its role in U.S. intelligence and special operations.
  • C. oss
    oss is the ISO 639-3 language code for the Ossetian (Iron) language spoken primarily in the Caucasus region.
  • D. OSSE
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • E. OSSPI
    OSSPI is a U.S. federal office that leads government-wide efforts to improve performance, customer experience, and shared services across agencies.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501d677481909e7416a1d2b0008c completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b3b52c8190ae7c05448faf5558 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b95083088190b0c993fa2fbc954c completed March 14, 2026, 7:38 p.m.
NED2 Entity disambiguation (via description) batch_69b5b9b8afcc8190822cfd560d064590 completed March 14, 2026, 7:40 p.m.
Created at: March 12, 2026, 11:07 p.m.