Triple

T6722428
Position Surface form Disambiguated ID Type / Status
Subject Olympiacos FC E153427 entity
Predicate chairman P377 FINISHED
Object Evangelos Marinakis E575040 NE FINISHED

How this triple was built (2 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: Evangelos Marinakis | Statement: [Olympiacos FC, chairman, Evangelos Marinakis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evangelos Marinakis
Context triple: [Olympiacos FC, chairman, Evangelos Marinakis]
  • A. Evangelos Marinakis chosen
    Evangelos Marinakis is a Greek shipping magnate and football executive known for owning major football clubs, including Nottingham Forest and Olympiacos.
  • B. Emmanouil Lazaridis
    Emmanouil Lazaridis was a Greek architect best known for designing Athens’ Tomb of the Unknown Soldier, a prominent national war memorial.
  • C. Tosh Angelos
    Tosh Angelos was the first husband of writer and civil rights activist Maya Angelou, with whom she had her only child.
  • D. Stelios Haji-Ioannou
    Stelios Haji-Ioannou is a Cypriot-British entrepreneur best known as the founder of the low-cost airline easyJet and the broader "easy" family of brands.
  • E. Michael Trikilis
    Michael Trikilis was an American television and film producer best known for his work on Playboy-related projects and various feature films in the late 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d139d50c81908b19120f139deaa5 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a14ebc819092cc40f522540f1a completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:08 p.m.