Triple

T6702312
Position Surface form Disambiguated ID Type / Status
Subject Alecko Eskandarian E152909 entity
Predicate givenName P17 FINISHED
Object Alecko
Alecko is a male given name most notably associated with former American soccer player Alecko Eskandarian.
 E614400 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: Alecko | Statement: [Alecko Eskandarian, givenName, Alecko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alecko
Context triple: [Alecko Eskandarian, givenName, Alecko]
  • A. Alec
    Alec is a powerful vampire from the Twilight series, known as a member of the Volturi guard with the ability to cut off others’ senses.
  • B. Alec
    Alec is the familiar nickname of Alec Douglas-Home, a British Conservative politician who served as Prime Minister of the United Kingdom from 1963 to 1964.
  • C. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • D. Ale
    Ale is a common short form of the Italian given name Alessandro, often used as a casual or affectionate nickname.
  • E. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • 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: Alecko
Triple: [Alecko Eskandarian, givenName, Alecko]
Generated description
Alecko is a male given name most notably associated with former American soccer player Alecko Eskandarian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alecko
Target entity description: Alecko is a male given name most notably associated with former American soccer player Alecko Eskandarian.
  • A. Alec
    Alec is a powerful vampire from the Twilight series, known as a member of the Volturi guard with the ability to cut off others’ senses.
  • B. Alec
    Alec is the familiar nickname of Alec Douglas-Home, a British Conservative politician who served as Prime Minister of the United Kingdom from 1963 to 1964.
  • C. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • D. Ale
    Ale is a common short form of the Italian given name Alessandro, often used as a casual or affectionate nickname.
  • E. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e5eb0c81908c4fa3febd2d23ca completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70083e1948190b5ee3fffb9783531 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c705220cb0819081a70175c150d138 completed March 27, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_69c705db3098819083ce9a93e429b758 completed March 27, 2026, 10:34 p.m.
Created at: March 27, 2026, 2:06 p.m.