Triple

T2945579
Position Surface form Disambiguated ID Type / Status
Subject Romola Garai E79492 entity
Predicate familyName P18 FINISHED
Object Garai
Garai is a surname most notably associated with English actress and director Romola Garai.
 E312378 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: Garai | Statement: [Romola Garai, familyName, Garai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garai
Context triple: [Romola Garai, familyName, Garai]
  • A. Asaka
    Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
  • B. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • C. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • D. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • E. Nozomi
    Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
  • 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: Garai
Triple: [Romola Garai, familyName, Garai]
Generated description
Garai is a surname most notably associated with English actress and director Romola Garai.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garai
Target entity description: Garai is a surname most notably associated with English actress and director Romola Garai.
  • A. Asaka
    Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
  • B. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • C. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • D. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • E. Nozomi
    Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b2752481908ec6f9a9cc24c0a7 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08692105c81908a3a146376b7417f completed March 10, 2026, 9:01 p.m.
NEDg Description generation batch_69b0d55128fc8190919354199e4c21bf completed March 11, 2026, 2:37 a.m.
NED2 Entity disambiguation (via description) batch_69b0d5f35adc81909af0a7cafbeb92de completed March 11, 2026, 2:39 a.m.
Created at: March 8, 2026, 2:56 p.m.