Triple

T15952136
Position Surface form Disambiguated ID Type / Status
Subject Davor Šuker E386842 entity
Predicate familyName P18 FINISHED
Object Šuker
Šuker is the surname of Davor Šuker, the renowned Croatian former footballer and top scorer of the 1998 FIFA World Cup.
E1186568 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: Šuker | Statement: [Davor Šuker, familyName, Šuker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šuker
Context triple: [Davor Šuker, familyName, Šuker]
  • A. Gamper
    Gamper is a surname most notably associated with Joan Gamper, the Swiss-born founder and early player-president of FC Barcelona.
  • B. Kaka
    Kaka is a small town in Turkmenistan known as an administrative and transport hub within the Ahal Region.
  • C. Zuccarello
    Zuccarello is a small historic village in the Liguria region of northwestern Italy, known for its medieval architecture and picturesque setting.
  • D. Bola
    Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
  • E. Shaqiu
    Shaqiu is the historical location in ancient China where the first emperor, Qin Shi Huang, died during an inspection tour.
  • 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: Šuker
Triple: [Davor Šuker, familyName, Šuker]
Generated description
Šuker is the surname of Davor Šuker, the renowned Croatian former footballer and top scorer of the 1998 FIFA World Cup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Šuker
Target entity description: Šuker is the surname of Davor Šuker, the renowned Croatian former footballer and top scorer of the 1998 FIFA World Cup.
  • A. Gamper
    Gamper is a surname most notably associated with Joan Gamper, the Swiss-born founder and early player-president of FC Barcelona.
  • B. Kaka
    Kaka is a small town in Turkmenistan known as an administrative and transport hub within the Ahal Region.
  • C. Zuccarello
    Zuccarello is a small historic village in the Liguria region of northwestern Italy, known for its medieval architecture and picturesque setting.
  • D. Bola
    Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
  • E. Shaqiu
    Shaqiu is the historical location in ancient China where the first emperor, Qin Shi Huang, died during an inspection tour.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f687dc81908d4afd43ac0b2c8e completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7ab070819090232efdeecdd5fb completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf61b2ec81909c0f32613bb91a82 completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfdfe58c8190b5964b6f5812ef65 completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.