Triple

T24293722
Position Surface form Disambiguated ID Type / Status
Subject High Jinx E605893 entity
Predicate hasLiteraryCharacterRole P15535 FINISHED
Object Blackford Oakes, CIA agent
Blackford Oakes is the dashing, Cold War–era CIA operative who serves as the protagonist of William F. Buckley Jr.’s series of espionage novels.
 E1628171 NE FINISHED

How this triple was built (3 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: Blackford Oakes, CIA agent | Statement: [High Jinx, hasLiteraryCharacterRole, Blackford Oakes, CIA agent]
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: Blackford Oakes, CIA agent
Triple: [High Jinx, hasLiteraryCharacterRole, Blackford Oakes, CIA agent]
Generated description
Blackford Oakes is the dashing, Cold War–era CIA operative who serves as the protagonist of William F. Buckley Jr.’s series of espionage novels.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLiteraryCharacterRole
Context triple: [High Jinx, hasLiteraryCharacterRole, Blackford Oakes, CIA agent]
  • A. literaryRole chosen
    Indicates the specific narrative or functional role an entity holds within a literary work or text.
  • B. hasHumanCharacterRole
    Indicates that an entity is assigned a role or function specifically associated with a human character within a context such as a story, performance, or representation.
  • C. hasFictionalRole
    Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
  • D. literarySeriesCharacter
    Indicates that a character appears in, is part of, or is associated with a particular literary series.
  • E. notableWorkCharacter
    Indicates that a character appears in, is associated with, or plays a role in a particular notable work.
  • F. None of above.

Provenance (6 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_69e29549335881909cbf27adcaba1cf0 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f2915870c8819089c14de19ba2a5c5 completed April 29, 2026, 11:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9cfdaa48190bf692c79a14f6104 completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcb0d718c81909c02cea23a2bffdc completed May 22, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcbdbc134819095ad50771a7c8809 completed May 22, 2026, 3:22 a.m.
PD Predicate disambiguation batch_69f1c45c6ec081908401b69424428100 completed April 29, 2026, 8:42 a.m.
Created at: April 18, 2026, 12:09 a.m.