Triple

T4276456
Position Surface form Disambiguated ID Type / Status
Subject Starlette E97056 entity
Predicate usedBy P260 FINISHED
Object Responder E426644 NE FINISHED

How this triple was built (2 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: Responder | Statement: [Starlette, usedBy, Responder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Responder
Context triple: [Starlette, usedBy, Responder]
  • A. Responder
    Responder is a network analysis and credential-harvesting tool commonly used in penetration testing to capture and manipulate authentication traffic on local networks.
  • B. Responder chosen
    Responder is a lightweight, high-performance Python web framework designed for building APIs and web applications on top of the ASGI specification.
  • C. Respond/React
    "Respond/React" is a track by Malik B., the late Philadelphia rapper best known as a founding member and key early lyricist of The Roots.
  • D. The Response
    The Response is a prominent sculptural group at Canada's National War Memorial in Ottawa, symbolizing the nation's sacrifice and commitment in times of war.
  • E. Re
    Re is the ancient Egyptian sun god, a major deity associated with creation, kingship, and the daily journey of the sun across the sky.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b5c7237b608190ab5aca56027344c4 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:07 p.m.