Triple
T464606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginger Rogers |
E8417
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Ginger Rogers |
E8417
|
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: Ginger Rogers | Statement: [Ginger Rogers, alsoKnownAs, Ginger Rogers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginger Rogers Context triple: [Ginger Rogers, alsoKnownAs, Ginger Rogers]
-
A.
Ginger Rogers
chosen
Ginger Rogers was an American actress, singer, and dancer best known for her iconic film musicals with Fred Astaire during Hollywood’s Golden Age.
-
B.
Carole Lombard
Carole Lombard was a celebrated American film actress of the 1930s, best known for her sharp wit and leading roles in classic screwball comedies.
-
C.
Cyd Charisse
Cyd Charisse was an American dancer and actress renowned for her dazzling, technically precise performances in classic Hollywood musicals of the 1940s and 1950s.
-
D.
Helene Costello
Helene Costello was an American film actress of the silent and early sound era, known for her roles in numerous 1920s productions.
-
E.
Billie Dove
Billie Dove was a popular American silent film actress of the 1920s, celebrated for her beauty and leading roles in romantic and adventure 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd5b6b48190ae23968135cf6417 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46c5c08108190bd043ae4f8908fc6 |
completed | March 1, 2026, 4:42 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.