Triple

T5255168
Position Surface form Disambiguated ID Type / Status
Subject Road to Ruin E118680 entity
Predicate producer P490 FINISHED
Object T. Erdelyi E125966 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: T. Erdelyi | Statement: [Road to Ruin, producer, T. Erdelyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T. Erdelyi
Context triple: [Road to Ruin, producer, T. Erdelyi]
  • A. T. Erdelyi chosen
    T. Erdelyi, better known as Tommy Ramone, was the original drummer and an early producer for the pioneering punk rock band the Ramones.
  • B. K. Sarneczky
    K. Sarneczky is an astronomer known for discovering the trans-Neptunian object Varuna.
  • C. Tamás Erdélyi
    Tamás Erdélyi, better known as Tommy Ramone, was the Hungarian-American drummer and co-founder of the pioneering punk rock band the Ramones.
  • D. Péter Erdő
    Péter Erdő is a Hungarian cardinal of the Roman Catholic Church and canon law scholar who has served as Archbishop of Esztergom-Budapest and Primate of Hungary.
  • E. Rudolf E. Kálmán
    Rudolf E. Kálmán was a pioneering Hungarian-American electrical engineer and mathematician best known for developing the Kalman filter, a fundamental algorithm in control theory and signal processing.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba2f5d08190850529659901ae0f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7a1f448190acfcdfe37c962028 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.