Triple
T7872324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheryl Hines |
E182765
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Love, Gilda |
E331355
|
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: Love, Gilda | Statement: [Cheryl Hines, appearedIn, Love, Gilda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love, Gilda Context triple: [Cheryl Hines, appearedIn, Love, Gilda]
-
A.
Gilda
Gilda is a classic 1946 American film noir starring Rita Hayworth in one of her most iconic roles.
-
B.
Murder, My Sweet
Murder, My Sweet is a 1944 film noir adaptation of Raymond Chandler’s novel "Farewell, My Lovely," noted for its hardboiled detective story and atmospheric style.
-
C.
The Lady from Shanghai
The Lady from Shanghai is a 1947 film noir directed by and starring Orson Welles, renowned for its complex plot, striking visual style, and famous hall-of-mirrors climax.
-
D.
Gilda Live
chosen
Gilda Live is a 1980 concert film capturing comedian Gilda Radner’s Broadway stage show, showcasing her iconic Saturday Night Live characters and sketches.
-
E.
The Bad and the Beautiful
The Bad and the Beautiful is a 1952 American film noir–style drama about the ruthless rise of a Hollywood producer, acclaimed for its incisive look at the movie industry and its multiple Academy Award-winning cinematography.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a6d93881908d68386e49bea1e3 |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b72cec08190ac8ea1d9676b68ce |
completed | March 31, 2026, 5:28 a.m. |
Created at: March 30, 2026, 4:56 p.m.