Triple
T7171861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Lilibet of Sussex |
E167218
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lilibet |
E167218
|
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: Lilibet | Statement: [Princess Lilibet of Sussex, givenName, Lilibet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilibet Context triple: [Princess Lilibet of Sussex, givenName, Lilibet]
-
A.
Princess Lilibet of Sussex
chosen
Princess Lilibet of Sussex is the younger child and only daughter of Prince Harry, Duke of Sussex, and Meghan, Duchess of Sussex, and a granddaughter of King Charles III.
-
B.
Juliana
Juliana was Queen of the Netherlands from 1948 to 1980, known for her down-to-earth style and role in guiding the country through postwar reconstruction and decolonization.
-
C.
Juliana
Juliana is a feminine given name of Latin origin, commonly used in various European and Latin American countries.
-
D.
Juliana
Juliana is an Old English religious poem attributed to the Anglo-Saxon poet Cynewulf, recounting the legend and martyrdom of Saint Juliana.
-
E.
Olivia
Olivia is a feminine given name of Latin origin meaning "olive tree," widely used in English-speaking countries and popularized by literature and modern media.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88b0a448190a19bd2d9e2a310a4 |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b918a838819088bd24d462101902 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:48 p.m.