Triple

T5770006
Position Surface form Disambiguated ID Type / Status
Subject Matt Eberflus E127307 entity
Predicate familyName P18 FINISHED
Object Eberflus E164644 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: Eberflus | Statement: [Matt Eberflus, familyName, Eberflus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eberflus
Context triple: [Matt Eberflus, familyName, Eberflus]
  • A. Eberflus chosen
    Eberflus is the surname of Matt Eberflus, an American football coach best known as the head coach of the Chicago Bears in the NFL.
  • B. Würm River
    The Würm River is a small river in Bavaria, Germany, known for flowing north from Lake Starnberg through towns such as Gauting and Starnberg before joining the Amper River.
  • C. Diemel
    The Diemel is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Weser.
  • D. Inn River
    The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • E. Ahr River
    The Ahr River is a tributary of the Rhine in western Germany, known for flowing through the Eifel region and its surrounding wine-growing valleys.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029aa877c8190bf6a944f18cca3b8 completed March 22, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e61127c8190833e279403af6605 completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:50 p.m.