Triple
T18515981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zara Anne Elizabeth Phillips |
E452462
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Elizabeth
Elizabeth is the middle name of Zara Anne Phillips, the daughter of Princess Anne and granddaughter of Queen Elizabeth II.
|
E1328853
|
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: Elizabeth | Statement: [Zara Anne Elizabeth Phillips, middleName, Elizabeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Context triple: [Zara Anne Elizabeth Phillips, middleName, Elizabeth]
-
A.
Elizabeth
Elizabeth is the given first name of American actress Bess Armstrong, known for her work in film and television since the late 1970s.
-
B.
Elizabeth
Elizabeth is the middle name of Tipper Gore, the American social issues advocate and former Second Lady of the United States.
-
C.
Elizabeth
Elizabeth was the birth name of Princess Elizabeth of England, who later became Queen Elizabeth I, the influential Tudor monarch of England.
-
D.
Elizabeth
Elizabeth is the birth name of American actress Beanie Feldstein, known for her roles in films like "Booksmart" and "Lady Bird."
-
E.
Elizabeth
Elizabeth is a fictional character in John Steinbeck’s novel "To a God Unknown," playing a key role in the protagonist’s family and the story’s exploration of faith, land, and sacrifice.
- 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: Elizabeth Triple: [Zara Anne Elizabeth Phillips, middleName, Elizabeth]
Generated description
Elizabeth is the middle name of Zara Anne Phillips, the daughter of Princess Anne and granddaughter of Queen Elizabeth II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Target entity description: Elizabeth is the middle name of Zara Anne Phillips, the daughter of Princess Anne and granddaughter of Queen Elizabeth II.
-
A.
Elizabeth
Elizabeth is the middle name of Lady Louise Windsor, a member of the British royal family and granddaughter of Queen Elizabeth II.
-
B.
Elizabeth
Elizabeth is the middle name of Princess Beatrice of York, a member of the British royal family.
-
C.
Elizabeth
Elizabeth is the middle name of Mary, the Queen of Denmark.
-
D.
Elizabeth
Elizabeth is the middle name of Lady Sarah Chatto, a British painter and member of the extended royal family.
-
E.
Elizabeth
Elizabeth is the given first name of Lady Sarah McCorquodale, the elder sister of Diana, Princess of Wales.
- 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.