Triple

T10276170
Position Surface form Disambiguated ID Type / Status
Subject Donald Tusk E240970 entity
Predicate familyName P18 FINISHED
Object Tusk
Tusk is a Polish surname most prominently associated with Donald Tusk, a leading Polish and European Union politician.
 E851935 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: [Donald Tusk, familyName, Tusk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tusk
Context triple: [Donald Tusk, familyName, Tusk]
  • A. Tusk
    Tusk is the live Russian boar mascot that represents the University of Arkansas Razorbacks football team at games and events.
  • B. 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.
  • C. Tig
    Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
  • D. 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.
  • E. Oryx
    Oryx is a genus of large, long-horned antelopes adapted to arid and desert environments in Africa and the Arabian Peninsula.
  • 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: [Donald Tusk, familyName, Tusk]
Generated description
Tusk is a Polish surname most prominently associated with Donald Tusk, a leading Polish and European Union politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tusk
Target entity description: Tusk is a Polish surname most prominently associated with Donald Tusk, a leading Polish and European Union politician.
  • A. Tusk
    Tusk is the live Russian boar mascot that represents the University of Arkansas Razorbacks football team at games and events.
  • B. 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.
  • C. Tig
    Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
  • D. 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.
  • E. Oryx
    Oryx is a genus of large, long-horned antelopes adapted to arid and desert environments in Africa and the Arabian Peninsula.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d28b6cd4819084a7a5c1893b5ad8 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f82188588190998e06cad1e15e68 completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcad625881909304201c1ebb3bcb completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd84cd708190816d94417294b52a completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:37 a.m.