Triple
T2468310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parable of the Rich Man and Lazarus |
E55305
|
entity |
| Predicate | richManDescription |
P32702
|
FINISHED |
| Object | clothed in purple and fine linen |
—
|
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: clothed in purple and fine linen | Statement: [Parable of the Rich Man and Lazarus, richManDescription, clothed in purple and fine linen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: richManDescription Context triple: [Parable of the Rich Man and Lazarus, richManDescription, clothed in purple and fine linen]
-
A.
richIn
Indicates that something contains a high amount or concentration of a particular substance, quality, or resource.
-
B.
managesWealthFor
Indicates that one entity is responsible for overseeing, controlling, or administering the financial assets or wealth of another entity.
-
C.
hasRich
Indicates that an entity possesses or is characterized by a high level of wealth, abundance, or valuable resources.
-
D.
characterDescription
chosen
Indicates that one entity provides a textual description or portrayal of the characteristics, traits, or attributes of another entity.
-
E.
hasWealthSource
Indicates that an entity derives its wealth or financial resources from a specified source.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.