Triple

T201146
Position Surface form Disambiguated ID Type / Status
Subject Fay Wray E4506 entity
Predicate givenName P17 FINISHED
Object Vina
Vina is an alternate given name of Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
E26899 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: Vina | Statement: [Fay Wray, givenName, Vina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vina
Context triple: [Fay Wray, givenName, Vina]
  • A. Madura
    Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
  • B. Maipo Valley
    Maipo Valley is one of Chile’s most renowned wine-producing regions, especially famous for its high-quality Cabernet Sauvignon and other red wines.
  • C. Tonkin
    Tonkin was a historical region in northern Vietnam, centered around Hanoi, that became a French protectorate and key part of colonial French Indochina.
  • D. Arausio
    Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
  • E. Mekong River
    The Mekong River is one of Asia’s longest and most important rivers, flowing from the Tibetan Plateau through several Southeast Asian countries before emptying into the South China Sea.
  • 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: Vina
Triple: [Fay Wray, givenName, Vina]
Generated description
Vina is an alternate given name of Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vina
Target entity description: Vina is an alternate given name of Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
  • A. Madura
    Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
  • B. Maipo Valley
    Maipo Valley is one of Chile’s most renowned wine-producing regions, especially famous for its high-quality Cabernet Sauvignon and other red wines.
  • C. Tonkin
    Tonkin was a historical region in northern Vietnam, centered around Hanoi, that became a French protectorate and key part of colonial French Indochina.
  • D. Arausio
    Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
  • E. Mekong River
    The Mekong River is one of Asia’s longest and most important rivers, flowing from the Tibetan Plateau through several Southeast Asian countries before emptying into the South China Sea.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25be47ea881909c296b30a0d47a65 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a332c7afc48190a65c7e71260c84b4 completed Feb. 28, 2026, 6:24 p.m.
NEDg Description generation batch_69a333db134881909dc3449ddb328de6 completed Feb. 28, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_69a3341c18c48190970fa40501d9b6fc completed Feb. 28, 2026, 6:29 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.