Triple

T20975692
Position Surface form Disambiguated ID Type / Status
Subject Thomas Häßler E516618 entity
Predicate playedFor P2170 FINISHED
Object TSV 1860 München NE NERFINISHED

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: TSV 1860 München | Statement: [Thomas Häßler, playedFor, TSV 1860 München]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSV 1860 München
Context triple: [Thomas Häßler, playedFor, TSV 1860 München]
  • A. TSV 1860 Munich chosen
    TSV 1860 Munich is a historic German football club from Munich known for its traditional fan base and past success in the Bundesliga.
  • B. MTU München
    MTU München was the original company from which MTU Aero Engines emerged, serving as a key German manufacturer in the aerospace and engine industry.
  • C. 1. FC Nürnberg
    1. FC Nürnberg is a historic German football club based in Nuremberg, known for its multiple national championships and strong traditional fan base.
  • D. Hertha BSC
    Hertha BSC is a professional football club from Berlin, Germany, that competes in the German league system and is one of the country’s oldest and most historic teams.
  • E. Hertha BSC II
    Hertha BSC II is the reserve football team of German club Hertha BSC, competing in the lower tiers of the national league system to develop young and fringe players.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba3df2081908c1db5f8610ba43d completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:46 p.m.