Triple

T7581128
Position Surface form Disambiguated ID Type / Status
Subject Three Days of the Condor E179487 entity
Predicate mainCharacterAlias P39 FINISHED
Object Condor
Condor is the codename of the CIA analyst protagonist in the political thriller novel and film "Three Days of the Condor."
E675154 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: Condor | Statement: [Three Days of the Condor, mainCharacterAlias, Condor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Condor
Context triple: [Three Days of the Condor, mainCharacterAlias, Condor]
  • A. Condor
    Condor is a German leisure airline known for operating holiday flights to popular vacation destinations, primarily from bases in Germany.
  • B. Vultur
    Vultur is a genus of large New World vultures best known for including the Andean condor, one of the world’s largest flying birds.
  • C. Hawk
    The Hawk is a bird of prey commonly symbolizing keen vision, strength, and agility, and serves as the mascot for various schools and sports teams.
  • D. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • E. Kestrel
    Kestrel is a cross-platform, high-performance web server built into ASP.NET Core for hosting and serving web applications.
  • 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: Condor
Triple: [Three Days of the Condor, mainCharacterAlias, Condor]
Generated description
Condor is the codename of the CIA analyst protagonist in the political thriller novel and film "Three Days of the Condor."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Condor
Target entity description: Condor is the codename of the CIA analyst protagonist in the political thriller novel and film "Three Days of the Condor."
  • A. Condor
    Condor is a German leisure airline known for operating holiday flights to popular vacation destinations, primarily from bases in Germany.
  • B. Vultur
    Vultur is a genus of large New World vultures best known for including the Andean condor, one of the world’s largest flying birds.
  • C. Hawk
    The Hawk is a bird of prey commonly symbolizing keen vision, strength, and agility, and serves as the mascot for various schools and sports teams.
  • D. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • E. Kestrel
    Kestrel is a cross-platform, high-performance web server built into ASP.NET Core for hosting and serving web applications.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f97717048190b0ca1a74ed8a817e completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861735c7c81908e2c9fcbb1005ec3 completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c862677e008190928ac5b4a47906fc completed March 28, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69c8630fe8608190afc7b67d9a80240b completed March 28, 2026, 11:24 p.m.
Created at: March 27, 2026, 3:52 p.m.