Triple

T11329904
Position Surface form Disambiguated ID Type / Status
Subject Near Dark E268313 entity
Predicate editedBy P1954 FINISHED
Object Howard E. Smith
Howard E. Smith is a film editor best known for his work on genre films such as the cult vampire movie "Near Dark."
 E919828 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: Howard E. Smith | Statement: [Near Dark, editedBy, Howard E. Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Howard E. Smith
Context triple: [Near Dark, editedBy, Howard E. Smith]
  • A. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on the acclaimed drama "Glengarry Glen Ross."
  • B. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on the thriller "Snakes on a Plane."
  • C. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the shark thriller "Deep Blue Sea."
  • D. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the action thriller "Point Break."
  • E. Howard W. Smith
    Howard W. Smith was a powerful mid-20th-century Virginia congressman and conservative Democrat known for his influential role on the House Rules Committee and his opposition to New Deal and civil rights legislation.
  • 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: Howard E. Smith
Triple: [Near Dark, editedBy, Howard E. Smith]
Generated description
Howard E. Smith is a film editor best known for his work on genre films such as the cult vampire movie "Near Dark."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Howard E. Smith
Target entity description: Howard E. Smith is a film editor best known for his work on genre films such as the cult vampire movie "Near Dark."
  • A. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on the acclaimed drama "Glengarry Glen Ross."
  • B. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on the thriller "Snakes on a Plane."
  • C. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the shark thriller "Deep Blue Sea."
  • D. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the action thriller "Point Break."
  • E. Howard W. Smith
    Howard W. Smith was a powerful mid-20th-century Virginia congressman and conservative Democrat known for his influential role on the House Rules Committee and his opposition to New Deal and civil rights legislation.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e54318be088190b57de40a2091447d completed April 19, 2026, 9:03 p.m.
NEDg Description generation batch_69e5474879088190990468d960b26739 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eccdd3881908536ee3f9f4ef516 completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:32 p.m.