Triple
T23704638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prophet Sulayman smiles at the ant’s words |
E585683
|
entity |
| Predicate | responseOfSulayman |
P153451
|
FINISHED |
| Object | smiling in amusement |
—
|
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: smiling in amusement | Statement: [Prophet Sulayman smiles at the ant’s words, responseOfSulayman, smiling in amusement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responseOfSulayman Context triple: [Prophet Sulayman smiles at the ant’s words, responseOfSulayman, smiling in amusement]
-
A.
portraysProphetSulaymanAs
Indicates that the subject represents or depicts Prophet Sulayman (Solomon) in a particular way or role.
-
B.
associatedSultan
Indicates that one entity is linked or connected to a particular sultan in some relevant context or relationship.
-
C.
recognizedAsSultan
Indicates that an entity is acknowledged or accepted by others as holding the status or title of sultan.
-
D.
sultanDuringConflict
Indicates that an individual holds the position or role of sultan during a specific conflict or period of armed struggle.
-
E.
commanderSeljuk
Indicates that one entity served as a military commander within the Seljuk context (e.g., army, campaign, or polity) for the other entity.
- F. None of above. chosen
Provenance (4 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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b685dfc8819081906aceab7b0bdd |
completed | April 29, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f157cc43a881909ed2d8b0a09b5d73 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 17, 2026, 6:53 p.m.