Triple
T1413727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte, Princess Royal |
E31863
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Matilda |
E108758
|
NE FINISHED |
How this triple was built (2 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: Matilda | Statement: [Charlotte, Princess Royal, givenName, Matilda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matilda Context triple: [Charlotte, Princess Royal, givenName, Matilda]
-
A.
Matilda
Matilda is a virtuous and tragic noblewoman in Horace Walpole’s pioneering Gothic novel "The Castle of Otranto."
-
B.
Matilda
chosen
Matilda was the regnal name of Edith of Scotland, who became Queen consort of England as the wife of King Henry I.
-
C.
Malory Towers
Malory Towers is a classic British children's book series set in a girls' boarding school, written by Enid Blyton and known for its stories of friendship, school life, and personal growth.
-
D.
Mill
Mill is a prominent surname most famously associated with John Stuart Mill, the influential 19th-century British philosopher and political economist.
-
E.
Mill
Mill is a village in the Dutch province of North Brabant, known for its historical sites and rural character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e476f08190aed1576805c62462 |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace57ec2d88190b06d0f20e3b52462 |
completed | March 8, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:59 p.m.