Triple

T10242958
Position Surface form Disambiguated ID Type / Status
Subject Joe Medjuck E243641 entity
Predicate notableWork P4 FINISHED
Object Dave
"Dave" is a 1993 American political comedy film about an ordinary man who is recruited to impersonate the President of the United States.
 E34737 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: Dave | Statement: [Joe Medjuck, notableWork, Dave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dave
Context triple: [Joe Medjuck, notableWork, Dave]
  • A. Dave
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • B. Danny
    Danny is the young, psychically gifted son of Jack Torrance in Stephen King’s horror novel "The Shining" and its film adaptations.
  • C. Danny
    Danny is a masculine given name, often used as a diminutive of Daniel.
  • D. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • E. Danny
    Danny is the charismatic, hard-drinking World War I veteran whose inherited houses and loose community of friends drive the picaresque adventures in John Steinbeck’s novel "Tortilla Flat."
  • 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: Dave
Triple: [Joe Medjuck, notableWork, Dave]
Generated description
"Dave" is a 1993 American political comedy film about an ordinary man who is recruited to impersonate the President of the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dave
Target entity description: "Dave" is a 1993 American political comedy film about an ordinary man who is recruited to impersonate the President of the United States.
  • A. Dave chosen
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • B. Danny
    Danny is the young, psychically gifted son of Jack Torrance in Stephen King’s horror novel "The Shining" and its film adaptations.
  • C. Danny
    Danny is a masculine given name, often used as a diminutive of Daniel.
  • D. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • E. Danny
    Danny is the charismatic, hard-drinking World War I veteran whose inherited houses and loose community of friends drive the picaresque adventures in John Steinbeck’s novel "Tortilla Flat."
  • F. None of above.

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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d229c1ac8190a86e911aea47a56d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f78a6efc819091f8303a6cfe4c8b completed April 9, 2026, 12:49 a.m.
NEDg Description generation batch_69d6fcaa16788190a4c7ef79a78febc6 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd6d705c81908e469068937a79b3 completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:25 a.m.