Triple

T6729062
Position Surface form Disambiguated ID Type / Status
Subject Lothar Matthäus E153589 entity
Predicate givenName P17 FINISHED
Object Lothar E495297 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: Lothar | Statement: [Lothar Matthäus, givenName, Lothar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lothar
Context triple: [Lothar Matthäus, givenName, Lothar]
  • A. Lothar chosen
    Lothar is a masculine given name of Germanic origin, historically borne by various European nobles, military figures, and notable individuals.
  • B. Lothar König
    Lothar König was a German Jesuit priest and member of the anti-Nazi resistance group associated with the Kreisau Circle during World War II.
  • C. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • D. Eberhard
    Eberhard is a German masculine given name of Old High German origin, traditionally meaning "strong boar" or "brave boar."
  • E. Otto of Rheinfelden
    Otto of Rheinfelden was an 11th-century German nobleman and duke, notable as the son of anti-king Rudolf of Rheinfelden during the Investiture Controversy in the Holy Roman Empire.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d15591c8819082620d194eba3e9d completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742444c3081908121fb01c93551f0 completed March 28, 2026, 2:51 a.m.
Created at: March 27, 2026, 2:08 p.m.