Triple

T64424
Position Surface form Disambiguated ID Type / Status
Subject Director of National Intelligence E1280 entity
Predicate shortName P43 FINISHED
Object DNI E1280 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: DNI | Statement: [Director of National Intelligence, shortName, DNI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNI
Context triple: [Director of National Intelligence, shortName, DNI]
  • A. DNI chosen
    DNI is the commonly used acronym for the Director of National Intelligence, the head of the U.S. intelligence community.
  • B. NSO
    NSO is the commonly used abbreviation for the National Symphony Orchestra, a major American orchestra based in Washington, D.C.
  • C. DDI
    DDI is the abbreviation for the Directorate of Digital Innovation, a CIA directorate focused on advancing the agency’s digital and cyber capabilities.
  • D. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • E. NCP
    NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24ee576fc8190b42e5d50767beefb completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab9477881908508e3130068bca3 completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.