Triple

T11931580
Position Surface form Disambiguated ID Type / Status
Subject Dora Annie Dickens E283926 entity
Predicate givenName P17 FINISHED
Object Dora
Dora is a feminine given name, often used in English-speaking countries and sometimes as a short form of names like Dorothy or Theodora.
E955652 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: Dora | Statement: [Dora Annie Dickens, givenName, Dora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dora
Context triple: [Dora Annie Dickens, givenName, Dora]
  • A. Dora
    Dora is a character in Jim Jarmusch’s film "Broken Flowers," known as one of Don Johnston’s former girlfriends whom he visits while searching for the mother of his alleged son.
  • B. Dora
    Dora is the given name of Dora de Houghton Carrington, an English painter and decorative artist associated with the Bloomsbury Group.
  • C. Dora
    Dora is a central character in the Italian film "Life Is Beautiful," portrayed as a loving and courageous mother whose devotion to her family anchors the story’s emotional core.
  • D. Dora
    Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
  • E. Dora Riparia
    Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
  • 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: Dora
Triple: [Dora Annie Dickens, givenName, Dora]
Generated description
Dora is a feminine given name, often used in English-speaking countries and sometimes as a short form of names like Dorothy or Theodora.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dora
Target entity description: Dora is a feminine given name, often used in English-speaking countries and sometimes as a short form of names like Dorothy or Theodora.
  • A. Dora
    Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
  • B. Dora
    Dora is a character in Jim Jarmusch’s film "Broken Flowers," known as one of Don Johnston’s former girlfriends whom he visits while searching for the mother of his alleged son.
  • C. Dora
    Dora is the given name of Dora de Houghton Carrington, an English painter and decorative artist associated with the Bloomsbury Group.
  • D. Dora
    Dora is a central character in the Italian film "Life Is Beautiful," portrayed as a loving and courageous mother whose devotion to her family anchors the story’s emotional core.
  • E. Dora Riparia
    Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4406ee910819093c72738bfe3f92c completed May 1, 2026, 5:55 a.m.
NEDg Description generation batch_69f448fb898081908a8ffd0da703c0f9 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44b9e662881908549e041f6a05e38 completed May 1, 2026, 6:43 a.m.
Created at: April 8, 2026, 9:45 p.m.