Triple

T16854905
Position Surface form Disambiguated ID Type / Status
Subject Ana Ularu E409758 entity
Predicate name P16 FINISHED
Object Ana Ularu E409758 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: Ana Ularu | Statement: [Ana Ularu, name, Ana Ularu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ana Ularu
Context triple: [Ana Ularu, name, Ana Ularu]
  • A. Ana Ularu chosen
    Ana Ularu is a Romanian actress known internationally for her roles in films such as "Inferno" and various European and American productions.
  • B. Otilia
    Otilia is the given first name of the Romanian poet and essayist Ana Blandiana.
  • C. Ula
    Ula is a small town and district in southwestern Turkey known for its traditional architecture and proximity to the coastal resorts of the Aegean region.
  • D. Ula
    Ula is a character connected to the life and experiences depicted in Henry Roth’s semi-autobiographical writings.
  • E. Urcunina
    Urcunina is an active stratovolcano in southwestern Colombia, better known today as Galeras, and is one of the country’s most frequently erupting volcanoes.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37c6e808190975b14b228253029 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb2337348190ae79dc4b188c94cf completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.