Triple
T6322062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Clifton |
E141765
|
entity |
| Predicate | storyOutcome |
P59870
|
FINISHED |
| Object | tragic death |
—
|
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: tragic death | Statement: [Katherine Clifton, storyOutcome, tragic death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyOutcome Context triple: [Katherine Clifton, storyOutcome, tragic death]
-
A.
narrativeConsequence
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
B.
outcomeOf
chosen
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
C.
storyline
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
D.
storyFunction
Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
-
E.
outcomeOfTrial
Indicates that a particular result or verdict is produced as the consequence of a specific trial or legal proceeding.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c76dfc8190a1d44fd0c4402a0e |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.