Triple

T10972121
Position Surface form Disambiguated ID Type / Status
Subject Jordana Brewster E259266 entity
Predicate givenName P17 FINISHED
Object Jordana
Jordana is a feminine given name most notably borne by American actress Jordana Brewster, known for her role in the "Fast & Furious" film franchise.
E897852 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: Jordana | Statement: [Jordana Brewster, givenName, Jordana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordana
Context triple: [Jordana Brewster, givenName, Jordana]
  • A. Jordyn
    Jordyn is a given name, typically used as a modern spelling variant of the name Jordan.
  • B. Jorja
    Jorja is a feminine given name most notably associated with American actress Jorja Fox.
  • C. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • D. Jordie
    Jordie is a familiar or affectionate diminutive form of the given name Jordan.
  • E. Jourdan
    Jourdan is a French surname most notably borne by Jean-Baptiste Jourdan, a prominent general of the French Revolutionary Wars.
  • 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: Jordana
Triple: [Jordana Brewster, givenName, Jordana]
Generated description
Jordana is a feminine given name most notably borne by American actress Jordana Brewster, known for her role in the "Fast & Furious" film franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jordana
Target entity description: Jordana is a feminine given name most notably borne by American actress Jordana Brewster, known for her role in the "Fast & Furious" film franchise.
  • A. Jordyn
    Jordyn is a given name, typically used as a modern spelling variant of the name Jordan.
  • B. Jorja
    Jorja is a feminine given name most notably associated with American actress Jorja Fox.
  • C. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • D. Jordie
    Jordie is a familiar or affectionate diminutive form of the given name Jordan.
  • E. Jourdan
    Jourdan is a French surname most notably borne by Jean-Baptiste Jourdan, a prominent general of the French Revolutionary Wars.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719b5edc81908c1019f81e78bd2e completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344a2130081908d9d22ee84890925 completed April 18, 2026, 8:45 a.m.
NEDg Description generation batch_69e3556ad7ec819095b3babc67ecdfd4 completed April 18, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69e358f860f08190bfd10519ff3806aa completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.