Triple

T3793231
Position Surface form Disambiguated ID Type / Status
Subject Robert Kurtzman E89706 entity
Predicate notableWork P4 FINISHED
Object Tusk
Tusk is a 2014 horror-comedy film written and directed by Kevin Smith about a podcaster who is grotesquely transformed into a walrus by a deranged seafarer.
 E389493 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: Tusk | Statement: [Robert Kurtzman, notableWork, Tusk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tusk
Context triple: [Robert Kurtzman, notableWork, Tusk]
  • A. Tusk
    Tusk is the live Russian boar mascot that represents the University of Arkansas Razorbacks football team at games and events.
  • B. Tig
    Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
  • C. Oryx
    Oryx is a mysterious and resilient woman in Margaret Atwood’s dystopian novel "Oryx and Crake," whose traumatic past and complex relationships profoundly shape the story’s emotional and ethical core.
  • D. Oryx
    Oryx is a genus of large, long-horned antelopes adapted to arid and desert environments in Africa and the Arabian Peninsula.
  • E. Ratufa
    Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
  • 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: Tusk
Triple: [Robert Kurtzman, notableWork, Tusk]
Generated description
Tusk is a 2014 horror-comedy film written and directed by Kevin Smith about a podcaster who is grotesquely transformed into a walrus by a deranged seafarer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tusk
Target entity description: Tusk is a 2014 horror-comedy film written and directed by Kevin Smith about a podcaster who is grotesquely transformed into a walrus by a deranged seafarer.
  • A. Tusk
    Tusk is the live Russian boar mascot that represents the University of Arkansas Razorbacks football team at games and events.
  • B. Tig
    Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
  • C. Oryx
    Oryx is a mysterious and resilient woman in Margaret Atwood’s dystopian novel "Oryx and Crake," whose traumatic past and complex relationships profoundly shape the story’s emotional and ethical core.
  • D. Oryx
    Oryx is a genus of large, long-horned antelopes adapted to arid and desert environments in Africa and the Arabian Peninsula.
  • E. Ratufa
    Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76b809c81908312f308fbe85bf4 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f058f03881909aded87e7a74849f completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f2ed663c8190be431c7aae60259e completed March 14, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_69b4f72eba988190acb96b44fc8b7c30 completed March 14, 2026, 5:50 a.m.
Created at: March 9, 2026, 3:15 p.m.