Triple

T16507220
Position Surface form Disambiguated ID Type / Status
Subject Nella Fermi E400961 entity
Predicate givenName P17 FINISHED
Object Nella E973362 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: Nella | Statement: [Nella Fermi, givenName, Nella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nella
Context triple: [Nella Fermi, givenName, Nella]
  • A. Nella chosen
    Nella is a minor comic character in Giacomo Puccini’s one-act opera "Gianni Schicchi," typically portrayed as part of the scheming Donati family.
  • B. Nelle
    Nelle is a feminine given name, often used in English-speaking countries and sometimes as a diminutive of names like Ellen or Helen.
  • C. Nessa
    Nessa is a Valië in J.R.R. Tolkien’s legendarium, known as the swift, joyful dancer and wife of Tulkas among the Valar.
  • D. Nessa
    Nessa is a small locality situated within the Leipzig metropolitan region in Germany.
  • E. Nin
    Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e536e5c8190bef31ab979d2880a completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607e933c8190ae0572583b5a9cbf completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:14 a.m.