Triple
T22795528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Lyndsey Torren Marsh |
E564230
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Queen Bavmorda |
—
|
NE NERFINISHED |
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 Bavmorda | Statement: [Jean Lyndsey Torren Marsh, portrayed, Queen Bavmorda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Bavmorda Context triple: [Jean Lyndsey Torren Marsh, portrayed, Queen Bavmorda]
-
A.
Queen Bavmorda
chosen
Queen Bavmorda is the ruthless and power-hungry sorceress-queen who serves as the primary villain in the fantasy film "Willow."
-
B.
Queen Sitre
Queen Sitre was an ancient Egyptian queen, likely a royal consort of the New Kingdom period, known from her dedicated tomb and associated funerary monuments.
-
C.
Bavmorda
Bavmorda is the primary villain and powerful sorceress queen in the fantasy film "Willow."
-
D.
Tamora
Tamora is the vengeful Queen of the Goths and a central antagonist in William Shakespeare’s tragedy "Titus Andronicus."
-
E.
Grimelda
Grimelda was a medieval Hungarian noblewoman, traditionally identified as a daughter of King Géza of Hungary and known for her dynastic marriage into the Venetian ruling family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd8e0c4819086da0488bea56a34 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.