Triple

T8147709
Position Surface form Disambiguated ID Type / Status
Subject Hansi Flick E190255 entity
Predicate familyName P18 FINISHED
Object Flick
Flick is a German football manager and former player best known for coaching the German national team and leading Bayern Munich to a historic sextuple in 2020.
E717324 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: Flick | Statement: [Hansi Flick, familyName, Flick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flick
Context triple: [Hansi Flick, familyName, Flick]
  • A. Flicker
    Flicker is the debut solo studio album by Irish singer-songwriter Niall Horan, blending pop and folk influences and released in 2017.
  • B. Flickers
    Flickers is a pioneering modern dance piece choreographed by American dancer and choreographer Charles Weidman.
  • C. Fink
    Fink is a British singer-songwriter and producer known for his atmospheric blend of folk, blues, and electronic music.
  • D. Fink
    Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
  • E. Fleck
    Fleck is the surname of Ludwik Fleck, a Polish microbiologist and philosopher of science known for his pioneering work on the sociology of scientific knowledge.
  • 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: Flick
Triple: [Hansi Flick, familyName, Flick]
Generated description
Flick is a German football manager and former player best known for coaching the German national team and leading Bayern Munich to a historic sextuple in 2020.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flick
Target entity description: Flick is a German football manager and former player best known for coaching the German national team and leading Bayern Munich to a historic sextuple in 2020.
  • A. Flicker
    Flicker is the debut solo studio album by Irish singer-songwriter Niall Horan, blending pop and folk influences and released in 2017.
  • B. Flickers
    Flickers is a pioneering modern dance piece choreographed by American dancer and choreographer Charles Weidman.
  • C. Fink
    Fink is a British singer-songwriter and producer known for his atmospheric blend of folk, blues, and electronic music.
  • D. Fink
    Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
  • E. Fleck
    Fleck is the surname of Ludwik Fleck, a Polish microbiologist and philosopher of science known for his pioneering work on the sociology of scientific knowledge.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447e74e081908df774edb2134209 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbedc48108190bcf98a82b9625250 completed April 1, 2026, 6:44 a.m.
NEDg Description generation batch_69ccc30f1fc48190991e0caa9ea6e735 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd8041c00819094094701ace21aa0 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:36 p.m.