Triple

T1533227
Position Surface form Disambiguated ID Type / Status
Subject Delia Juanita Warrick E32491 entity
Predicate givenName P17 FINISHED
Object Delia
Delia is a feminine given name used in various cultures, often as a standalone name or a diminutive of longer names like Cordelia or Adelia.
 E175380 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: Delia | Statement: [Delia Juanita Warrick, givenName, Delia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Delia
Context triple: [Delia Juanita Warrick, givenName, Delia]
  • A. Cloris
    Cloris is a feminine given name most famously borne by the American actress Cloris Leachman.
  • B. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • C. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • D. Tessie
    Tessie is a Boston Red Sox mascot character, often depicted as a green monster and associated with Wally the Green Monster.
  • E. Lydia
    Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
  • 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: Delia
Triple: [Delia Juanita Warrick, givenName, Delia]
Generated description
Delia is a feminine given name used in various cultures, often as a standalone name or a diminutive of longer names like Cordelia or Adelia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Delia
Target entity description: Delia is a feminine given name used in various cultures, often as a standalone name or a diminutive of longer names like Cordelia or Adelia.
  • A. Cloris
    Cloris is a feminine given name most famously borne by the American actress Cloris Leachman.
  • B. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • C. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • D. Tessie
    Tessie is a Boston Red Sox mascot character, often depicted as a green monster and associated with Wally the Green Monster.
  • E. Lydia
    Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9081835e4819093dee004fdb027ff completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30942dc481908de85bd2ca30c0bd completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad3104afe88190a8d783dd38d4f2fd completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad31a17f5c8190b0d56b449f79cca5 completed March 8, 2026, 8:21 a.m.
Created at: March 4, 2026, 7:26 p.m.