Triple
T23850015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame Curie (1943 film score) |
E592135
|
entity |
| Predicate | compositionFor |
P30143
|
FINISHED |
| Object | Madame Curie (1943 film) |
—
|
NE NERFINISHED |
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: Madame Curie (1943 film) | Statement: [Madame Curie (1943 film score), compositionFor, Madame Curie (1943 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compositionFor Context triple: [Madame Curie (1943 film score), compositionFor, Madame Curie (1943 film)]
-
A.
compositionFrom
Indicates that something is formed or made up from specified constituent parts or materials.
-
B.
composedFor
chosen
Indicates that a creative work (typically a piece of music) was specifically written or created for a particular person, group, event, or purpose.
-
C.
composedTo
Indicates that one entity created or authored another entity, typically a work such as a piece of music, writing, or art.
-
D.
compositionForm
Indicates the structural or organizational form in which something is composed or arranged.
-
E.
composedIn
Indicates that a creative work was written or musically composed within a particular place or during a specific time period.
- F. None of above.
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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c986f7e08190a6d361423946ff05 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.