Triple

T18418938
Position Surface form Disambiguated ID Type / Status
Subject Mark L. Lester E441968 entity
Predicate directed P7373 FINISHED
Object The Base
The Base is a 1999 action film about an undercover Army investigator infiltrating a corrupt military unit involved in drug trafficking.
E1323829 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: The Base | Statement: [Mark L. Lester, directed, The Base]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Base
Context triple: [Mark L. Lester, directed, The Base]
  • A. Baza
    Baza is a historic town and municipality in southern Spain known for its archaeological heritage and location in the province of Granada, Andalusia.
  • B. Baza
    Baza is an alternative name for the Kunama people, an ethnic group primarily living in parts of Eritrea and northern Ethiopia.
  • C. Basaseachi
    Basaseachi is a small town in Chihuahua, Mexico, known as the gateway to the nearby Basaseachic Falls and the surrounding Sierra Madre Occidental landscapes.
  • D. Baas
    Baas is a Dutch surname most notably associated with contemporary designer Maarten Baas, known for his conceptual and often playful furniture and art pieces.
  • E. April Base
    April Base is Justin Vernon’s secluded recording studio complex in rural Wisconsin, known as the creative home base for Bon Iver and various collaborative projects.
  • 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: The Base
Triple: [Mark L. Lester, directed, The Base]
Generated description
The Base is a 1999 action film about an undercover Army investigator infiltrating a corrupt military unit involved in drug trafficking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Base
Target entity description: The Base is a 1999 action film about an undercover Army investigator infiltrating a corrupt military unit involved in drug trafficking.
  • A. Baza
    Baza is a historic town and municipality in southern Spain known for its archaeological heritage and location in the province of Granada, Andalusia.
  • B. Baza
    Baza is an alternative name for the Kunama people, an ethnic group primarily living in parts of Eritrea and northern Ethiopia.
  • C. Basaseachi
    Basaseachi is a small town in Chihuahua, Mexico, known as the gateway to the nearby Basaseachic Falls and the surrounding Sierra Madre Occidental landscapes.
  • D. Baas
    Baas is a Dutch surname most notably associated with contemporary designer Maarten Baas, known for his conceptual and often playful furniture and art pieces.
  • E. April Base
    April Base is Justin Vernon’s secluded recording studio complex in rural Wisconsin, known as the creative home base for Bon Iver and various collaborative projects.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a2a0fb08190b409ed200a9d86a6 completed April 19, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f0a633448190880b67ffe4f4e55b completed May 13, 2026, 3:31 a.m.
NEDg Description generation batch_6a03f21c622c81909f34f0d3da0c4491 completed May 13, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_6a03f356e48c81908d74414b736303a4 completed May 13, 2026, 3:43 a.m.
Created at: April 10, 2026, 10:47 a.m.