Triple
T25871786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Reaper and the Flowers |
E651776
|
entity |
| Predicate | depictsDeathAs |
P29944
|
FINISHED |
| Object | servant of God |
—
|
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: servant of God | Statement: [The Reaper and the Flowers, depictsDeathAs, servant of God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsDeathAs Context triple: [The Reaper and the Flowers, depictsDeathAs, servant of God]
-
A.
deathDescribedAs
chosen
Indicates that one entity characterizes, portrays, or refers to another entity’s death using a particular description, metaphor, or wording.
-
B.
deathDescribedIn
Indicates that a person's death is documented, narrated, or otherwise detailed within a particular source or description.
-
C.
deathDescribedBy
Indicates that a death event is documented, characterized, or explained by a specific description or source.
-
D.
facesDeath
Indicates that an entity is confronting, experiencing, or is directly threatened by death or a life-ending situation.
-
E.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
- 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_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 22, 2026, 8:11 a.m.