Triple

T16326424
Position Surface form Disambiguated ID Type / Status
Subject Kevin Dunn E396431 entity
Predicate notableWork P4 FINISHED
Object Dave
"Dave" is a 1993 political comedy film about a presidential look-alike who unexpectedly finds himself acting as the President of the United States.
 E1207341 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: [Kevin Dunn, notableWork, Dave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dave
Context triple: [Kevin Dunn, 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 a masculine given name, often used as a diminutive of Daniel.
  • C. Danny
    Danny is the young, psychically gifted son of Jack Torrance in Stephen King’s horror novel "The Shining" and its film adaptations.
  • D. Danny
    Danny is a fictional character from the musical "Proud Mary."
  • E. Danny
    Danny is the central protagonist of the horror novel "The Keep," around whom the story’s supernatural and psychological conflicts revolve.
  • 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: [Kevin Dunn, notableWork, Dave]
Generated description
"Dave" is a 1993 political comedy film about a presidential look-alike who unexpectedly finds himself acting as 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 political comedy film about a presidential look-alike who unexpectedly finds himself acting as the President of the United States.
  • 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 central protagonist of the film "Lowriders," a young man torn between his passion for street art and the expectations of his lowrider-obsessed family in East Los Angeles.
  • E. Danny
    Danny is the central character in the short story "In the Gloaming," around whom the narrative’s emotional and thematic developments revolve.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296bab8b48190b373b4efbd6f0d8c completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260f487c81909e3e54e47c11b83a completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0027f09b588190b71d550d2a14868d completed May 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a002899c8888190be247f5db60552e0 completed May 10, 2026, 6:41 a.m.
Created at: April 10, 2026, 5:06 a.m.