Triple

T18515979
Position Surface form Disambiguated ID Type / Status
Subject Zara Anne Elizabeth Phillips E452462 entity
Predicate givenName P17 FINISHED
Object Zara
Zara is a British equestrian and member of the royal family, known as the daughter of Princess Anne and granddaughter of Queen Elizabeth II.
 E1328851 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: Zara | Statement: [Zara Anne Elizabeth Phillips, givenName, Zara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zara
Context triple: [Zara Anne Elizabeth Phillips, givenName, Zara]
  • A. Zara
    Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
  • B. Zara
    Zara is a character in the 1953 film noir "Pickup on South Street," involved in the story’s underworld of espionage and crime.
  • C. Zara
    Zara is a global fast-fashion retail brand known for rapidly translating runway trends into affordable clothing and accessories for a mass-market audience.
  • D. Zara
    Zara is a town and district in Turkey known for its location in the eastern part of the Central Anatolia region.
  • E. Zara
    Zara is a station on Milan’s Metro Line 3, serving as a public transportation stop within the city’s underground network.
  • 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: Zara
Triple: [Zara Anne Elizabeth Phillips, givenName, Zara]
Generated description
Zara is a British equestrian and member of the royal family, known as the daughter of Princess Anne and granddaughter of Queen Elizabeth II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zara
Target entity description: Zara is a British equestrian and member of the royal family, known as the daughter of Princess Anne and granddaughter of Queen Elizabeth II.
  • A. Zara
    Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
  • B. Zara
    Zara is a character in the 1953 film noir "Pickup on South Street," involved in the story’s underworld of espionage and crime.
  • C. Zara
    Zara is a global fast-fashion retail brand known for rapidly translating runway trends into affordable clothing and accessories for a mass-market audience.
  • D. Zara
    Zara is a town and district in Turkey known for its location in the eastern part of the Central Anatolia region.
  • E. Zara
    Zara is a station on Milan’s Metro Line 3, serving as a public transportation stop within the city’s underground network.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338a628c81909db08ae7dc94f59a completed April 19, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04916c1cb88190889ad7d1c1dc4279 completed May 13, 2026, 2:57 p.m.
NEDg Description generation batch_6a04921b1a508190b8bb6d6c4597ab99 completed May 13, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a0492ba4ea08190b59510b221ad5d21 completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:36 a.m.