Triple

T10833165
Position Surface form Disambiguated ID Type / Status
Subject Marc-Édouard Vlasic E255675 entity
Predicate familyName P18 FINISHED
Object Vlasic
Vlasic is a surname most prominently associated with Canadian professional ice hockey defenseman Marc-Édouard Vlasic of the NHL.
E888306 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: Vlasic | Statement: [Marc-Édouard Vlasic, familyName, Vlasic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vlasic
Context triple: [Marc-Édouard Vlasic, familyName, Vlasic]
  • A. Velenjak
    Velenjak is an affluent residential and cultural neighborhood in northern Tehran, known for its proximity to the Alborz mountains and several major universities.
  • B. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • C. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • D. Vukovica
    Vukovica is the standardized orthography of the Serbo-Croatian language based on the phonemic spelling principles codified by linguist Vuk Karadžić.
  • E. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • 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: Vlasic
Triple: [Marc-Édouard Vlasic, familyName, Vlasic]
Generated description
Vlasic is a surname most prominently associated with Canadian professional ice hockey defenseman Marc-Édouard Vlasic of the NHL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vlasic
Target entity description: Vlasic is a surname most prominently associated with Canadian professional ice hockey defenseman Marc-Édouard Vlasic of the NHL.
  • A. Velenjak
    Velenjak is an affluent residential and cultural neighborhood in northern Tehran, known for its proximity to the Alborz mountains and several major universities.
  • B. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • C. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • D. Vukovica
    Vukovica is the standardized orthography of the Serbo-Croatian language based on the phonemic spelling principles codified by linguist Vuk Karadžić.
  • E. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7442439dc8190af59f9c8d0637c01 completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69de85aa5ea88190ab6399e46eba5c49 completed April 14, 2026, 6:21 p.m.
NEDg Description generation batch_69de8e70da448190b80068fea047a88c completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de94dd45548190a88b5ab991756d12 completed April 14, 2026, 7:26 p.m.
Created at: April 8, 2026, 9:19 p.m.