Triple
T10836500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Royal Family |
E255771
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Elizabeth Royal
Elizabeth Royal is the central fictional member of the Royal Family around whom the story’s events and relationships primarily revolve.
|
E889236
|
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 Royal | Statement: [The Royal Family, mainCharacter, Elizabeth Royal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Royal Context triple: [The Royal Family, mainCharacter, Elizabeth Royal]
-
A.
Rainha Má
Rainha Má is a popular Brazilian song by Daniela Mercury that helped solidify her status as a leading figure in axé music in the 1990s.
-
B.
Lady Lyonesse
Lady Lyonesse is a noblewoman from Arthurian legend best known as the beloved and later wife of Sir Gareth, one of the Knights of the Round Table.
-
C.
Queen of Surrey
Queen of Surrey is a BC Ferries roll-on/roll-off passenger and vehicle ferry that operates on routes along the coast of British Columbia, Canada.
-
D.
Mary Pitt
Mary Pitt was a member of the prominent Pitt family of 18th-century Britain, known primarily as a sister of statesman Hester Pitt, Countess of Chatham.
-
E.
Marjory
Marjory is a feminine given name, commonly considered a variant spelling of Marjorie.
- 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 Royal Triple: [The Royal Family, mainCharacter, Elizabeth Royal]
Generated description
Elizabeth Royal is the central fictional member of the Royal Family around whom the story’s events and relationships primarily revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Royal Target entity description: Elizabeth Royal is the central fictional member of the Royal Family around whom the story’s events and relationships primarily revolve.
-
A.
Rainha Má
Rainha Má is a popular Brazilian song by Daniela Mercury that helped solidify her status as a leading figure in axé music in the 1990s.
-
B.
Lady Lyonesse
Lady Lyonesse is a noblewoman from Arthurian legend best known as the beloved and later wife of Sir Gareth, one of the Knights of the Round Table.
-
C.
Queen of Surrey
Queen of Surrey is a BC Ferries roll-on/roll-off passenger and vehicle ferry that operates on routes along the coast of British Columbia, Canada.
-
D.
Mary Pitt
Mary Pitt was a member of the prominent Pitt family of 18th-century Britain, known primarily as a sister of statesman Hester Pitt, Countess of Chatham.
-
E.
Marjory
Marjory is a feminine given name, commonly considered a variant spelling of Marjorie.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746ff70148190b844ab92d796af6c |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb12aae648190aa7c93cee60ae3ea |
completed | April 14, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69dec2534728819095b3693120772da9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec79b1b548190a74312284f98551c |
completed | April 14, 2026, 11:02 p.m. |
Created at: April 8, 2026, 9:19 p.m.