Triple

T19013208
Position Surface form Disambiguated ID Type / Status
Subject Rachel E465278 entity
Predicate hasTransliteration P2508 FINISHED
Object Rakel
Rakel is a feminine given name, commonly used as a transliterated form of the name Rachel in various languages.
E1354058 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: Rakel | Statement: [Rachel, hasTransliteration, Rakel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rakel
Context triple: [Rachel, hasTransliteration, Rakel]
  • A. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • B. Skreia
    Skreia is a village in Østre Toten Municipality in Innlandet county, Norway, known for its rural setting near Lake Mjøsa.
  • C. Meara
    Meara is the surname of American actress and comedian Anne Meara, best known as half of the comedy duo Stiller and Meara and as the mother of actor Ben Stiller.
  • D. Kaela
    Kaela is the given name of American professional basketball player Kaela Davis.
  • E. Rylea
    Rylea is a feminine given name that has gained popularity in recent years, often appreciated for its modern, melodic sound.
  • 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: Rakel
Triple: [Rachel, hasTransliteration, Rakel]
Generated description
Rakel is a feminine given name, commonly used as a transliterated form of the name Rachel in various languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rakel
Target entity description: Rakel is a feminine given name, commonly used as a transliterated form of the name Rachel in various languages.
  • A. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • B. Skreia
    Skreia is a village in Østre Toten Municipality in Innlandet county, Norway, known for its rural setting near Lake Mjøsa.
  • C. Meara
    Meara is the surname of American actress and comedian Anne Meara, best known as half of the comedy duo Stiller and Meara and as the mother of actor Ben Stiller.
  • D. Kaela
    Kaela is the given name of American professional basketball player Kaela Davis.
  • E. Rylea
    Rylea is a feminine given name that has gained popularity in recent years, often appreciated for its modern, melodic sound.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a9bac8819093f9af57000667b0 completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05b467a8cc81909106355f3b011ae3 completed May 14, 2026, 11:39 a.m.
NEDg Description generation batch_6a05b706025c8190aed7945dad186ba5 completed May 14, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_6a05b7e153948190b19a6ad3ffff2aba completed May 14, 2026, 11:54 a.m.
Created at: April 10, 2026, 12:02 p.m.