Triple

T15495422
Position Surface form Disambiguated ID Type / Status
Subject Emil Mătăsăreanu E378804 entity
Predicate givenName P17 FINISHED
Object Emil E550792 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: Emil | Statement: [Emil Mătăsăreanu, givenName, Emil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emil
Context triple: [Emil Mătăsăreanu, givenName, Emil]
  • A. Emil
    Emil is the given name of Carl Gustaf Emil Mannerheim, the renowned Finnish military leader and statesman who served as President of Finland.
  • B. Emil
    Emil is a given name notably borne by Emile Berliner, the German-American inventor best known for developing the gramophone and flat disc record.
  • C. Emil chosen
    Emil is a masculine given name used in various European languages, often associated with Latin and Germanic origins.
  • D. Emil
    Emil is a fictional character from Louisa May Alcott's novel "Jo's Boys," where he appears as one of the next generation of Plumfield children whose adult lives and adventures are followed.
  • E. Emil
    Emil is a central character in the film "The Immigrant," whose experiences embody the struggles and hopes of newcomers seeking a better life in a foreign land.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3662f3388190b75ffe3ce418f36d completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:51 a.m.