Triple
T25149024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Match Girl |
E630017
|
entity |
| Predicate | protagonistStatusAtEnd |
P83430
|
FINISHED |
| Object | dies from cold and hunger |
—
|
LITERAL 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: dies from cold and hunger | Statement: [The Little Match Girl, protagonistStatusAtEnd, dies from cold and hunger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistStatusAtEnd Context triple: [The Little Match Girl, protagonistStatusAtEnd, dies from cold and hunger]
-
A.
protagonistStatusAtStart
Indicates the role or condition the main character is in at the beginning of the narrative or event.
-
B.
protagonistStatusAfterSleep
Indicates the condition or state of the main character immediately following a period of sleep.
-
C.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
D.
statusAtEndOfFilm
chosen
Indicates the condition or situation an entity is in when the film concludes.
-
E.
protagonistStatusBeforeSleep
Indicates the role or condition the protagonist is in immediately prior to going to sleep.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4684f11708190aa73600e3367475b |
completed | May 1, 2026, 8:46 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:30 a.m.