Triple

T9160514
Position Surface form Disambiguated ID Type / Status
Subject Lenora Fulani E219808 entity
Predicate givenName P17 FINISHED
Object Lenora
Lenora is a feminine given name of Latin origin, derived from Eleanor and often associated with meanings like "light" or "compassion."
 E180426 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: Lenora | Statement: [Lenora Fulani, givenName, Lenora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lenora
Context triple: [Lenora Fulani, givenName, Lenora]
  • A. Leonora
    Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
  • B. Leonora
    Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
  • C. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • D. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • E. Bianca
    Bianca is a courtesan in Shakespeare’s tragedy "Othello," romantically involved with Cassio and used as a pawn in Iago’s schemes.
  • 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: Lenora
Triple: [Lenora Fulani, givenName, Lenora]
Generated description
Lenora is a feminine given name of Latin origin, derived from Eleanor and often associated with meanings like "light" or "compassion."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lenora
Target entity description: Lenora is a feminine given name of Latin origin, derived from Eleanor and often associated with meanings like "light" or "compassion."
  • A. Leonora
    Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
  • B. Leonora chosen
    Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
  • C. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • D. Bianca
    Bianca is a courtesan in Shakespeare’s tragedy "Othello," romantically involved with Cassio and used as a pawn in Iago’s schemes.
  • E. Bianca
    Bianca is a key supporting character in the "Creed" film series, a musician and love interest of Adonis Creed who plays a central role in his personal life and emotional journey.
  • F. None of above.

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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca9d953c081908d21f363801aaae4 completed April 1, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0547073cc8190999fe640c7ccd373 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d05560d6888190b4faf3406f9ff9f2 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d059161a1881909ceaaf8b0893dbea completed April 4, 2026, 12:19 a.m.
Created at: March 30, 2026, 7:21 p.m.