Triple
T14527121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merryweather |
E340806
|
entity |
| Predicate | loyalTo |
P1201
|
FINISHED |
| Object | Queen Leah |
E958205
|
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 Leah | Statement: [Merryweather, loyalTo, Queen Leah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Leah Context triple: [Merryweather, loyalTo, Queen Leah]
-
A.
Queen Leah
chosen
Queen Leah is a character in Disney's "Sleeping Beauty," known as Princess Aurora's mother and the queen of the kingdom.
-
B.
Gebirah (queen mother)
Gebirah (queen mother) is a royal title in the Hebrew Bible denoting the king’s mother, who often held significant influence and status within the monarchy of ancient Judah.
-
C.
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.
-
D.
Queen Apailana
Queen Apailana was a young monarch of the planet Naboo in the Star Wars universe, known for her resistance to the Galactic Empire during its early rise.
-
E.
Queen Watevra Wa'Nabi
Queen Watevra Wa'Nabi is a shape-shifting alien queen made of LEGO bricks who plays a central role in the animated film "The Lego Movie 2: The Second Part."
- 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_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a52260881909a0d85603666107d |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.