Triple
T1433618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safiyya bint Huyayy |
E30506
|
entity |
| Predicate | respectedIn |
P15867
|
FINISHED |
| Object | Islamic tradition |
—
|
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: Islamic tradition | Statement: [Safiyya bint Huyayy, respectedIn, Islamic tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: respectedIn Context triple: [Safiyya bint Huyayy, respectedIn, Islamic tradition]
-
A.
respectedAs
chosen
Indicates that one entity regards another with esteem or honor, recognizing their value, status, or authority.
-
B.
honoredThrough
Indicates that one entity is recognized or commemorated by means of another entity, event, or action.
-
C.
honour
Indicates showing respect, admiration, or recognition toward someone or something, often through actions, words, or ceremonial acknowledgment.
-
D.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
E.
creditedFor
Indicates that one entity is acknowledged as the source, contributor, or originator responsible for another entity (such as a work, achievement, or outcome).
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.