Triple

T12708000
Position Surface form Disambiguated ID Type / Status
Subject Alfred-Döblin-Preis E303638 entity
Predicate notableLaureate P1618 FINISHED
Object Navid Kermani E389010 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: Navid Kermani | Statement: [Alfred-Döblin-Preis, notableLaureate, Navid Kermani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navid Kermani
Context triple: [Alfred-Döblin-Preis, notableLaureate, Navid Kermani]
  • A. Navid Kermani chosen
    Navid Kermani is a German writer, orientalist, and public intellectual known for his essays and novels exploring Islam, European culture, and intercultural dialogue.
  • B. Mehdi Hatamian
    Mehdi Hatamian is an electrical engineer and technologist recognized for his influential contributions to high-speed integrated circuits and signal processing, for which he has received major industry honors.
  • C. Kevin Nazemi
    Kevin Nazemi is an American entrepreneur best known as a co-founder of the health insurance startup Oscar Health.
  • D. Amir Naderi
    Amir Naderi is an acclaimed Iranian filmmaker and screenwriter known for influential works in Iranian New Wave cinema and later international films.
  • E. Ramin Toloui
    Ramin Toloui is an American economist and former global co-head of emerging markets at PIMCO who has served in senior international economic policy roles in the U.S. government.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620663e881908d367170ed6d2c81 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e43424819080659ab152caae52 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:23 p.m.