Triple

T16854907
Position Surface form Disambiguated ID Type / Status
Subject Ana Ularu E409758 entity
Predicate familyName P18 FINISHED
Object Ularu
Ularu is a Romanian surname most notably borne by actress Ana Ularu, known for her work in international film and television.
 E1236315 NE FINISHED

How this triple was built (4 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: Ularu | Statement: [Ana Ularu, familyName, Ularu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ularu
Context triple: [Ana Ularu, familyName, Ularu]
  • A. Víbora
    Víbora is a traditional residential neighborhood in Havana, Cuba, known for its dense urban fabric and local commercial activity.
  • B. Igu
    Igu is a locality within Nigeria’s Federal Capital Territory, situated in the Bwari Area Council near Abuja.
  • C. Gusu
    Gusu is an ancient name for the city of Suzhou, historically renowned as a cultural and economic center famed for its classical gardens, canals, and silk.
  • D. Tanus
    Tanus is a mythological deity associated with rivers and freshwater, often revered as a guardian of waterways and their surrounding ecosystems.
  • E. Yaka
    Yaka is a major Bantu language spoken primarily in the Democratic Republic of the Congo and neighboring regions of Central Africa.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ularu
Triple: [Ana Ularu, familyName, Ularu]
Generated description
Ularu is a Romanian surname most notably borne by actress Ana Ularu, known for her work in international film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ularu
Target entity description: Ularu is a Romanian surname most notably borne by actress Ana Ularu, known for her work in international film and television.
  • A. Víbora
    Víbora is a traditional residential neighborhood in Havana, Cuba, known for its dense urban fabric and local commercial activity.
  • B. Igu
    Igu is a locality within Nigeria’s Federal Capital Territory, situated in the Bwari Area Council near Abuja.
  • C. Gusu
    Gusu is an ancient name for the city of Suzhou, historically renowned as a cultural and economic center famed for its classical gardens, canals, and silk.
  • D. Tanus
    Tanus is a mythological deity associated with rivers and freshwater, often revered as a guardian of waterways and their surrounding ecosystems.
  • E. Yaka
    Yaka is a major Bantu language spoken primarily in the Democratic Republic of the Congo and neighboring regions of Central Africa.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_6a00bbe7e4c4819081d0bfd1ac427c49 completed May 10, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc73e4e88190a8327ba48174f923 completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:24 a.m.