Triple

T20045599
Position Surface form Disambiguated ID Type / Status
Subject Adam Beach E497548 entity
Predicate spouse P13 FINISHED
Object Tammea Ziya
Tammea Ziya is known as the spouse of Canadian actor Adam Beach.
E1409172 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: Tammea Ziya | Statement: [Adam Beach, spouse, Tammea Ziya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tammea Ziya
Context triple: [Adam Beach, spouse, Tammea Ziya]
  • A. Zulema Zahir
    Zulema Zahir is a ruthless and cunning inmate who becomes one of the central antagonists in the Spanish prison drama series "Vis a Vis" ("Locked Up").
  • B. Fairuza
    Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
  • C. Daisy Kadibil
    Daisy Kadibil was one of the Aboriginal Australian sisters whose real-life escape from a government settlement as part of the Stolen Generations inspired the story depicted in the film and book "Rabbit-Proof Fence."
  • D. Zaina Lank
    Zaina Lank is a notable island located within Wular Lake in Jammu and Kashmir, India.
  • E. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • 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: Tammea Ziya
Triple: [Adam Beach, spouse, Tammea Ziya]
Generated description
Tammea Ziya is known as the spouse of Canadian actor Adam Beach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tammea Ziya
Target entity description: Tammea Ziya is known as the spouse of Canadian actor Adam Beach.
  • A. Zulema Zahir
    Zulema Zahir is a ruthless and cunning inmate who becomes one of the central antagonists in the Spanish prison drama series "Vis a Vis" ("Locked Up").
  • B. Fairuza
    Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
  • C. Daisy Kadibil
    Daisy Kadibil was one of the Aboriginal Australian sisters whose real-life escape from a government settlement as part of the Stolen Generations inspired the story depicted in the film and book "Rabbit-Proof Fence."
  • D. Zaina Lank
    Zaina Lank is a notable island located within Wular Lake in Jammu and Kashmir, India.
  • E. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632a5e888190ade41657ffd057f6 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081603b36c8190b82688c3235fc794 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a08180e5e988190a846aef83802cfc3 completed May 16, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0818970bb081908093589df4fc65b6 completed May 16, 2026, 7:11 a.m.
Created at: April 11, 2026, 3:37 p.m.