Triple
T21573710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn Ishaq |
E532344
|
entity |
| Predicate | workPreservedThrough |
P95072
|
FINISHED |
| Object | Ibn Hisham’s recension |
—
|
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: Ibn Hisham’s recension | Statement: [Ibn Ishaq, workPreservedThrough, Ibn Hisham’s recension]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workPreservedThrough Context triple: [Ibn Ishaq, workPreservedThrough, Ibn Hisham’s recension]
-
A.
worksPreservedThrough
chosen
Indicates that a creator’s works have been maintained, safeguarded, or transmitted over time by a particular medium, institution, person, or process.
-
B.
workPreservedIn
Indicates that a work is maintained, stored, or archived within a particular medium, collection, or repository so that it remains accessible over time.
-
C.
workPreservationStatus
Indicates the current state or condition of efforts to preserve a particular work (such as whether it is preserved, partially preserved, or lost).
-
D.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
E.
preservedFor
Indicates that something has been kept intact or maintained in a particular state for the benefit, use, or reference of a specified entity or purpose.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cef2748190990a81967d49b706 |
completed | April 27, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:30 p.m.