Triple
T20383544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dames |
E497900
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Dames |
—
|
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: Dames | Statement: [Dames, title, Dames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dames Context triple: [Dames, title, Dames]
-
A.
Dames
chosen
Dames is a 1934 Warner Bros. musical comedy film famed for its elaborate, visually inventive song-and-dance sequences choreographed by Busby Berkeley.
-
B.
Dame
Dame is a British honorific title bestowed primarily upon women in recognition of significant contributions to national life, often in the arts, public service, or other distinguished fields.
-
C.
Dame
Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
-
D.
Three Ladies
Three Ladies are a trio of attendants to the Queen of the Night in Mozart’s opera *The Magic Flute*, known for guiding and protecting the hero Tamino.
-
E.
Madame
Madame was the popular nickname of Henrietta of England, Duchess of Orléans, a 17th-century English princess who became a prominent figure at the French court of Louis XIV.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.