Triple

T411181
Position Surface form Disambiguated ID Type / Status
Subject David Ben-Gurion E9492 entity
Predicate birthName P65 FINISHED
Object David Grün E30736 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: David Grün | Statement: [David Ben-Gurion, birthName, David Grün]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Grün
Context triple: [David Ben-Gurion, birthName, David Grün]
  • A. David Grün chosen
    David Grün is the birth name of David Ben-Gurion, the primary national founder and first Prime Minister of the State of Israel.
  • B. Luca Firth
    Luca Firth is one of British actor Colin Firth’s sons, known primarily for his connection to the acclaimed performer.
  • C. Toby Gad
    Toby Gad is a German-born, Grammy-nominated songwriter and producer known for crafting hit pop and R&B songs for artists such as John Legend, Beyoncé, and Fergie.
  • D. Tilly Grosser
    Tilly Grosser was the first wife of Austrian neurologist and Holocaust survivor Viktor Frankl, who perished during the Holocaust.
  • E. Fredrik Meltzer
    Fredrik Meltzer was a Norwegian politician and merchant best known for creating the design of Norway’s national flag in the early 19th century.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecd96fec8190948fe64928ab4d85 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4177a3ef88190bb331ab9034ead7d completed March 1, 2026, 10:39 a.m.
Created at: Feb. 28, 2026, 1:09 p.m.