Triple

T171068
Position Surface form Disambiguated ID Type / Status
Subject Anton Yelchin E3122 entity
Predicate givenName P17 FINISHED
Object Anton
Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
E28227 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: Anton | Statement: [Anton Yelchin, givenName, Anton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anton
Context triple: [Anton Yelchin, givenName, Anton]
  • A. Andrei
    Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
  • B. Emil
    Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
  • C. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • D. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • E. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • 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: Anton
Triple: [Anton Yelchin, givenName, Anton]
Generated description
Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anton
Target entity description: Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
  • A. Andrei
    Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
  • B. Emil
    Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
  • C. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • D. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • E. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b94d00819098e90bdfa1306f9f completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34d90d3948190a59a53e54b477681 completed Feb. 28, 2026, 8:18 p.m.
NEDg Description generation batch_69a34e222c388190861811c2f6aff0a6 completed Feb. 28, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_69a34e9e185c8190b03d8906082928fe completed Feb. 28, 2026, 8:22 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.