Triple
T25871777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Reaper and the Flowers |
E651776
|
entity |
| Predicate | portraysDeathAs |
P29944
|
FINISHED |
| Object | gentle reaper |
—
|
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: gentle reaper | Statement: [The Reaper and the Flowers, portraysDeathAs, gentle reaper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysDeathAs Context triple: [The Reaper and the Flowers, portraysDeathAs, gentle reaper]
-
A.
facesDeath
Indicates that an entity is confronting, experiencing, or is directly threatened by death or a life-ending situation.
-
B.
deathDescribedAs
chosen
Indicates that one entity characterizes, portrays, or refers to another entity’s death using a particular description, metaphor, or wording.
-
C.
portraysCrucifixionAs
Indicates that one entity represents or depicts the crucifixion in a particular manner or interpretive style.
-
D.
viewOfDeath
Indicates a subject’s beliefs, attitudes, or conceptual understanding regarding death.
-
E.
deathPractice
Indicates a relationship where an entity engages in practices, rituals, or preparations specifically related to death or dying.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 22, 2026, 8:11 a.m.