Triple
T31840529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumerian royal ideology |
E812789
|
entity |
| Predicate | portraysKingAs |
P100368
|
FINISHED |
| Object | shepherd |
—
|
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: shepherd | Statement: [Sumerian royal ideology, portraysKingAs, shepherd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysKingAs Context triple: [Sumerian royal ideology, portraysKingAs, shepherd]
-
A.
portraysKingRichardAs
Indicates that a subject represents or depicts King Richard in a particular manner or characterization.
-
B.
portraysPrinceJohnAs
Indicates depicting Prince John in a particular manner, character, or role within a representation or narrative.
-
C.
kingOf
Indicates that one entity holds the position or role of king in relation to another entity, typically a territory, people, or domain.
-
D.
mainKingCharacter
Indicates that the entity serves as the primary king character or central royal protagonist in a given context.
-
E.
portraysPersonAs
chosen
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: April 30, 2026, 11:49 p.m.