Triple
T27883828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samarra school of the Imams |
E705168
|
entity |
| Predicate | primaryFigures |
P56750
|
FINISHED |
| Object | Hasan al-Askari |
—
|
NE NERFINISHED |
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: Hasan al-Askari | Statement: [Samarra school of the Imams, primaryFigures, Hasan al-Askari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFigures Context triple: [Samarra school of the Imams, primaryFigures, Hasan al-Askari]
-
A.
publicFigure
Indicates that an entity is widely recognized by the public and holds a prominent or influential role in society, such as in politics, entertainment, or media.
-
B.
typicalFigure
Indicates that one entity serves as a standard or representative example (a typical instance) of the other entity.
-
C.
primaryPeople
chosen
Indicates that the referenced people are the main or most important individuals associated with a given entity, event, or context.
-
D.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
E.
associatedLegendaryFigure
Indicates that an entity is traditionally linked or connected to a particular legendary or mythological figure.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ffa5f31c8881908c26e2aa52df6ece |
completed | May 9, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69ffa42aee408190ad1a5f285688b338 |
completed | May 9, 2026, 9:16 p.m. |
Created at: April 27, 2026, 6:31 p.m.