Triple

T2234760
Position Surface form Disambiguated ID Type / Status
Subject John Luther E49253 entity
Predicate positionHeld P8 FINISHED
Object DCI
DCI is a senior rank in the British police force, typically overseeing major criminal investigations and detective units.
E248396 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: DCI | Statement: [John Luther, positionHeld, DCI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DCI
Context triple: [John Luther, positionHeld, DCI]
  • A. DCIA
    DCIA is the acronym for the Director of the Central Intelligence Agency, the head of the U.S. civilian foreign intelligence service.
  • B. DD/CIA
    DD/CIA is the official abbreviation for the Deputy Director of the Central Intelligence Agency, the second-highest-ranking official in the CIA responsible for assisting in the agency’s overall leadership and management.
  • C. DNI
    DNI is the commonly used acronym for the Director of National Intelligence, the head of the U.S. intelligence community.
  • D. CIC
    CIC is the commonly used abbreviation for the Cement Industry Committee, an organization associated with the cement sector.
  • E. DCMR
    DCMR is the official codified collection of all administrative rules and regulations issued by agencies of the District of Columbia government.
  • 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: DCI
Triple: [John Luther, positionHeld, DCI]
Generated description
DCI is a senior rank in the British police force, typically overseeing major criminal investigations and detective units.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DCI
Target entity description: DCI is a senior rank in the British police force, typically overseeing major criminal investigations and detective units.
  • A. DCIA
    DCIA is the acronym for the Director of the Central Intelligence Agency, the head of the U.S. civilian foreign intelligence service.
  • B. DD/CIA
    DD/CIA is the official abbreviation for the Deputy Director of the Central Intelligence Agency, the second-highest-ranking official in the CIA responsible for assisting in the agency’s overall leadership and management.
  • C. DNI
    DNI is the commonly used acronym for the Director of National Intelligence, the head of the U.S. intelligence community.
  • D. CIC
    CIC is the commonly used abbreviation for the Cement Industry Committee, an organization associated with the cement sector.
  • E. DCMR
    DCMR is the official codified collection of all administrative rules and regulations issued by agencies of the District of Columbia government.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc09297a481909e8fe6ec645de616 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b068a388190962114f3798ef4f9 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bbba3908190b24b6e29175cc449 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c5f6364819085aed383ab0ff8c5 completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:47 p.m.