Triple
T32530947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solomon and the hoopoe |
E831450
|
entity |
| Predicate | portraysSolomonAs |
P70095
|
FINISHED |
| Object | wise king |
—
|
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: wise king | Statement: [Solomon and the hoopoe, portraysSolomonAs, wise king]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysSolomonAs Context triple: [Solomon and the hoopoe, portraysSolomonAs, wise king]
-
A.
portraysProphetSulaymanAs
chosen
Indicates that the subject represents or depicts Prophet Sulayman (Solomon) in a particular way or role.
-
B.
impliesQualityOfSolomon
Indicates that something conveys, suggests, or attributes a particular quality or characteristic to Solomon.
-
C.
portraysKingRichardAs
Indicates that a subject represents or depicts King Richard in a particular manner or characterization.
-
D.
portraysAdamAs
Indicates that a subject represents or depicts Adam in a particular way, role, or characterization.
-
E.
biblicalFigure
Indicates that an entity is recognized as a person mentioned or characterized within the Bible.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: May 1, 2026, 1:01 a.m.