Triple
T3056410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gypsy |
E60490
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Gypsy Rose Lee |
E124316
|
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: Gypsy Rose Lee | Statement: [Gypsy, mainCharacter, Gypsy Rose Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gypsy Rose Lee Context triple: [Gypsy, mainCharacter, Gypsy Rose Lee]
-
A.
Gypsy Rose Lee
chosen
Gypsy Rose Lee was a famous American burlesque entertainer and author whose life inspired the musical "Gypsy."
-
B.
Roxie Roker
Roxie Roker was an American actress best known for her groundbreaking role as Helen Willis, one half of one of television’s first interracial couples, on the sitcom "The Jeffersons."
-
C.
Betty Garrett
Betty Garrett was an American actress, comedian, singer, and dancer known for her energetic performances in mid-20th-century Hollywood musicals and later in popular television sitcoms.
-
D.
Phyllis Diller
Phyllis Diller was a pioneering American stand-up comedian and actress known for her eccentric stage persona, self-deprecating humor, and distinctive cackling laugh.
-
E.
Ann Miller
Ann Miller was an American actress, singer, and acclaimed tap dancer known for her energetic performances in classic Hollywood musicals of the 1940s and 1950s.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf7ebd48190ad5748a18fa9a56a |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0671e48190a793f907cc211dd8 |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.