Triple
T7202544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Sufyan ibn Harb |
E148581
|
entity |
| Predicate | statusAfterConversion |
P57908
|
FINISHED |
| Object | Companion of Muhammad |
—
|
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: Companion of Muhammad | Statement: [Abu Sufyan ibn Harb, statusAfterConversion, Companion of Muhammad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterConversion Context triple: [Abu Sufyan ibn Harb, statusAfterConversion, Companion of Muhammad]
-
A.
conversionStatus
chosen
Indicates the current state or outcome of a process in which one entity is transformed, converted, or transitioned into another form or status.
-
B.
conversionCompleted
Indicates that a previously initiated conversion process has finished successfully.
-
C.
covertStatus
Indicates that an entity is operating in a hidden, secret, or undisclosed capacity, often with its true role or identity intentionally concealed.
-
D.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
statusInSI
Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94a9ee4819086de79fcdfa1836a |
completed | March 27, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.