Triple
T14535833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Fiona |
E341040
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Queen Lillian |
E934366
|
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: Queen Lillian | Statement: [Princess Fiona, parent, Queen Lillian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Lillian Context triple: [Princess Fiona, parent, Queen Lillian]
-
A.
Queen Lillian
chosen
Queen Lillian is a supporting character in the Shrek animated film series, known as Fiona’s mother and the queen of Far Far Away.
-
B.
Queen La
Queen La is a recurring villainess in the Tarzan stories, depicted as the powerful and often sinister queen and high priestess of the lost city of Opar.
-
C.
Queen Red
Queen Red was one of the designated assault sub-sectors of Sword Beach used by Allied forces during the D-Day landings in World War II.
-
D.
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.
-
E.
Beatrice Kingdom
Beatrice Kingdom is a fictional character named Beatrice who appears in the work or setting associated with the Kingdom universe.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1b9d39881908c7a3a5b17d432af |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c3d1d881909ed7e75aae7b08d9 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:22 a.m.