Triple
T25135890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Waqidi |
E629655
|
entity |
| Predicate | reputationInHistoriography |
P49575
|
FINISHED |
| Object | important early Islamic historian |
—
|
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: important early Islamic historian | Statement: [al-Waqidi, reputationInHistoriography, important early Islamic historian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reputationInHistoriography Context triple: [al-Waqidi, reputationInHistoriography, important early Islamic historian]
-
A.
historiographicalStatus
Indicates the recognized standing or classification of something within historical writing or scholarship, such as how it is interpreted, debated, or valued by historians.
-
B.
historicalReception
Indicates how an event, work, or figure was received, interpreted, or evaluated by people and institutions over time.
-
C.
hasHistoriographicalUse
Indicates that something is used or cited within historical writing or analysis as part of constructing, interpreting, or debating historical narratives.
-
D.
reputationInAntiquity
Indicates the reputation or standing an entity had during ancient times.
-
E.
characterizationByHistorians
chosen
Indicates how historians have described, interpreted, or evaluated a person, event, or phenomenon in their scholarly work.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465ff8c1881909f42c293b0da9804 |
completed | May 1, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:29 a.m.