Triple
T10954209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tula |
E258799
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Cyd Charisse |
E45043
|
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: Cyd Charisse | Statement: [Tula, stageName, Cyd Charisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyd Charisse Context triple: [Tula, stageName, Cyd Charisse]
-
A.
Cyd Charisse
chosen
Cyd Charisse was an American dancer and actress renowned for her dazzling, technically precise performances in classic Hollywood musicals of the 1940s and 1950s.
-
B.
Nico Charisse
Nico Charisse was a French-born dancer and choreographer best known as the first husband and early dance partner of Hollywood star Cyd Charisse.
-
C.
Carole Landis
Carole Landis was an American film actress and World War II pin-up star known for her glamorous screen presence in 1940s Hollywood.
-
D.
Eleanor Powell
Eleanor Powell was an acclaimed American film and Broadway actress and dancer, celebrated especially for her virtuosic tap dancing in Hollywood musicals of the 1930s and 1940s.
-
E.
Mamie Van Doren
Mamie Van Doren is an American actress, singer, and 1950s sex symbol known for her roles in rock 'n' roll and exploitation films.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ff718c81909d4baebea3b56b83 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46283f41c8190ac3e1f196c5e4ca0 |
completed | April 19, 2026, 5:05 a.m. |
Created at: April 8, 2026, 9:23 p.m.