Triple

T5524541
Position Surface form Disambiguated ID Type / Status
Subject John David Washington E144889 entity
Predicate playedFor P2170 FINISHED
Object Rhein Fire E397174 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: Rhein Fire | Statement: [John David Washington, playedFor, Rhein Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhein Fire
Context triple: [John David Washington, playedFor, Rhein Fire]
  • A. Rhein Fire chosen
    Rhein Fire was a professional American football team based in Düsseldorf, Germany that competed in NFL Europe and was known for its strong fan support and multiple World Bowl appearances.
  • B. Brennen
    Brennen is a given name, typically used as a variant spelling of Brennan.
  • C. Bad Ems
    Bad Ems is a historic spa town in western Germany, renowned for its mineral springs and picturesque location along the Lahn River.
  • D. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • E. Bucksturm
    Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f874bd081909cccfc25767ee6fa completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027f6aa1c8190b639c317c7d60f64 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:34 p.m.