Triple

T22149370
Position Surface form Disambiguated ID Type / Status
Subject Giorgos Seferis E547373 entity
Predicate notableWork P4 FINISHED
Object Strophe
Strophe is a notable poetry collection by the influential Greek poet and Nobel laureate Giorgos Seferis.
 E1522089 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: Strophe | Statement: [Giorgos Seferis, notableWork, Strophe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Strophe
Context triple: [Giorgos Seferis, notableWork, Strophe]
  • A. Strank
    Strank is a surname most notably associated with Michael Strank, one of the U.S. Marines immortalized in the iconic World War II photograph of the flag raising on Iwo Jima.
  • B. Stello
    Stello is the surname of Dick Stello, a former Major League Baseball umpire known for his work in the National League.
  • C. Nym
    Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
  • D. Steng
    Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
  • E. Stekel
    Stekel is a surname most notably associated with Wilhelm Stekel, an Austrian physician and early psychoanalyst who was one of Sigmund Freud’s first followers.
  • 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: Strophe
Triple: [Giorgos Seferis, notableWork, Strophe]
Generated description
Strophe is a notable poetry collection by the influential Greek poet and Nobel laureate Giorgos Seferis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Strophe
Target entity description: Strophe is a notable poetry collection by the influential Greek poet and Nobel laureate Giorgos Seferis.
  • A. Strank
    Strank is a surname most notably associated with Michael Strank, one of the U.S. Marines immortalized in the iconic World War II photograph of the flag raising on Iwo Jima.
  • B. Stello
    Stello is the surname of Dick Stello, a former Major League Baseball umpire known for his work in the National League.
  • C. Nym
    Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
  • D. Steng
    Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
  • E. Stekel
    Stekel is a surname most notably associated with Wilhelm Stekel, an Austrian physician and early psychoanalyst who was one of Sigmund Freud’s first followers.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f2c0e881909c3488bb5eb5959d completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9704f4988190b03783c006929ad7 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97e509a88190a7f316cf340d010a completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a987daa208190bab5b7adec1913e8 completed May 18, 2026, 4:41 a.m.
Created at: April 16, 2026, 8:33 p.m.