Triple

T3549689
Position Surface form Disambiguated ID Type / Status
Subject Dakota Fanning E75080 entity
Predicate familyName P18 FINISHED
Object Fanning
Fanning is the surname of American actress Dakota Fanning, known for her prominent roles in film and television since childhood.
 E367988 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: Fanning | Statement: [Dakota Fanning, familyName, Fanning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fanning
Context triple: [Dakota Fanning, familyName, Fanning]
  • A. Fagan
    Fagan is the family name of legendary American jazz singer Billie Holiday, born Eleanora Fagan.
  • B. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • C. Finney
    Finney is a surname most famously associated with English actor Albert Finney, known for his acclaimed work in film, television, and theatre.
  • D. FAN-nee
    FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
  • E. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • 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: Fanning
Triple: [Dakota Fanning, familyName, Fanning]
Generated description
Fanning is the surname of American actress Dakota Fanning, known for her prominent roles in film and television since childhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fanning
Target entity description: Fanning is the surname of American actress Dakota Fanning, known for her prominent roles in film and television since childhood.
  • A. Fagan
    Fagan is the family name of legendary American jazz singer Billie Holiday, born Eleanora Fagan.
  • B. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • C. Finney
    Finney is a surname most famously associated with English actor Albert Finney, known for his acclaimed work in film, television, and theatre.
  • D. FAN-nee
    FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
  • E. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd38c8c8190a4591689ad57c998 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be9335c81909ba546a079134c8f completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c5cfb608190b451be14246d5481 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38ce0e1688190a7ee3d079fb83f3d completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.