Triple

T8395594
Position Surface form Disambiguated ID Type / Status
Subject Furiosa: A Mad Max Saga E198044 entity
Predicate stars P1956 FINISHED
Object Alyla Browne
Alyla Browne is an Australian actress best known for her role in the action film "Furiosa: A Mad Max Saga."
E737050 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: Alyla Browne | Statement: [Furiosa: A Mad Max Saga, stars, Alyla Browne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alyla Browne
Context triple: [Furiosa: A Mad Max Saga, stars, Alyla Browne]
  • A. Sophia Browne
    Sophia Browne was the wife of Canadian architect and civil engineer John George Howard, noted as his partner during his early years in Toronto.
  • B. Alexandra Byrne
    Alexandra Byrne is an acclaimed British costume designer known for her intricate period costumes and award-winning work in both film and theatre.
  • C. Holly Faulks
    Holly Faulks is known as the daughter of British novelist Sebastian Faulks.
  • D. Kasidy Yates
    Kasidy Yates is a civilian freighter captain and the romantic partner of Captain Benjamin Sisko in the television series Star Trek: Deep Space Nine.
  • E. Caroline Farrell
    Caroline Farrell is the original identity of Echo, the central protagonist in Joss Whedon’s science fiction TV series "Dollhouse."
  • 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: Alyla Browne
Triple: [Furiosa: A Mad Max Saga, stars, Alyla Browne]
Generated description
Alyla Browne is an Australian actress best known for her role in the action film "Furiosa: A Mad Max Saga."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alyla Browne
Target entity description: Alyla Browne is an Australian actress best known for her role in the action film "Furiosa: A Mad Max Saga."
  • A. Sophia Browne
    Sophia Browne was the wife of Canadian architect and civil engineer John George Howard, noted as his partner during his early years in Toronto.
  • B. Alexandra Byrne
    Alexandra Byrne is an acclaimed British costume designer known for her intricate period costumes and award-winning work in both film and theatre.
  • C. Holly Faulks
    Holly Faulks is known as the daughter of British novelist Sebastian Faulks.
  • D. Kasidy Yates
    Kasidy Yates is a civilian freighter captain and the romantic partner of Captain Benjamin Sisko in the television series Star Trek: Deep Space Nine.
  • E. Caroline Farrell
    Caroline Farrell is the original identity of Echo, the central protagonist in Joss Whedon’s science fiction TV series "Dollhouse."
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb81874d6c8190bbc0ac832d8a339d completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce3973369481909392e8f9c4d6d447 completed April 2, 2026, 9:40 a.m.
NEDg Description generation batch_69ce3ad9a3a88190929a6c6ae7ee58cf completed April 2, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ce3cc54d888190ae86b787afc38f7b completed April 2, 2026, 9:54 a.m.
Created at: March 30, 2026, 6:04 p.m.