Triple
T17544100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeanette MacDonald |
E427278
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bittersweet
"Bittersweet" is a 1940 musical romance film starring Jeanette MacDonald and Nelson Eddy, adapted from the operetta by Noël Coward.
|
E1275098
|
NE FINISHED |
How this triple was built (4 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: Bittersweet | Statement: [Jeanette MacDonald, notableWork, Bittersweet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bittersweet Context triple: [Jeanette MacDonald, notableWork, Bittersweet]
-
A.
Bittersweet
"Bittersweet" is a graphic art book by illustrator Noma Bar, showcasing his distinctive use of negative space and bold, minimalist imagery.
-
B.
Bittersweet
"Bittersweet" is a Grammy-winning R&B ballad by Fantasia Barrino that reflects on the lingering emotions of a past relationship.
-
C.
Bittersweet
Bittersweet is a studio album by Australian country singer-songwriter Kasey Chambers, noted for its emotionally rich songwriting and roots-influenced sound.
-
D.
Bittersweet
"Bittersweet" is a song featured on James Taylor's 2002 studio album "October Road."
-
E.
Bittersweet
Bittersweet was a small New York community that was permanently flooded and abandoned during the creation of the Neversink Reservoir.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bittersweet Triple: [Jeanette MacDonald, notableWork, Bittersweet]
Generated description
"Bittersweet" is a 1940 musical romance film starring Jeanette MacDonald and Nelson Eddy, adapted from the operetta by Noël Coward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bittersweet Target entity description: "Bittersweet" is a 1940 musical romance film starring Jeanette MacDonald and Nelson Eddy, adapted from the operetta by Noël Coward.
-
A.
Bittersweet
"Bittersweet" is a Grammy-winning R&B ballad by Fantasia Barrino that reflects on the lingering emotions of a past relationship.
-
B.
Bittersweet
"Bittersweet" is a graphic art book by illustrator Noma Bar, showcasing his distinctive use of negative space and bold, minimalist imagery.
-
C.
Bittersweet
Bittersweet is a studio album by Australian country singer-songwriter Kasey Chambers, noted for its emotionally rich songwriting and roots-influenced sound.
-
D.
Bittersweet
"Bittersweet" is a song featured on James Taylor's 2002 studio album "October Road."
-
E.
Bittersweet
Bittersweet was a small New York community that was permanently flooded and abandoned during the creation of the Neversink Reservoir.
- F. None of above. chosen
Provenance (5 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4545fe29c8190a586c75419fa14ea |
completed | April 19, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d28b45c88190b16b9437920f0e5d |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d43430d481909b07d8ecc09a185f |
completed | May 11, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d4c609fc819089147744317d4be3 |
completed | May 11, 2026, 1:08 p.m. |
Created at: April 10, 2026, 5:49 a.m.