Triple
T11407767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cross of Snow |
E270282
|
entity |
| Predicate | reflectsEvent |
P59649
|
FINISHED |
| Object | the death of Frances Appleton Longfellow in a fire |
—
|
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: the death of Frances Appleton Longfellow in a fire | Statement: [The Cross of Snow, reflectsEvent, the death of Frances Appleton Longfellow in a fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsEvent Context triple: [The Cross of Snow, reflectsEvent, the death of Frances Appleton Longfellow in a fire]
-
A.
exposesEvent
Indicates that one entity makes an event available or visible for use, handling, or observation by another entity or system.
-
B.
isLinkedToEvent
chosen
Indicates that an entity has an association or connection with a specific event.
-
C.
representsInEvent
Indicates that an entity serves as a representative or proxy for another entity within the context of a specific event.
-
D.
coversEvent
Indicates that one event includes, spans, or encompasses the time period or occurrence of another event.
-
E.
isRelayEvent
Indicates that an event functions as an intermediary or forwarding step within a larger process or communication chain.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014e72748190a01bde2f0105cedb |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.