Triple
T13918917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mir Bakshi |
E334690
|
entity |
| Predicate | usedHonorificTitleLanguage |
P9810
|
FINISHED |
| Object | Persian |
—
|
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: Persian | Statement: [Mir Bakshi, usedHonorificTitleLanguage, Persian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedHonorificTitleLanguage Context triple: [Mir Bakshi, usedHonorificTitleLanguage, Persian]
-
A.
honorificUsage
Indicates that one entity refers to or addresses another using an honorific title or respectful linguistic form.
-
B.
honorificTitleGivenBy
Indicates that an honorific title is formally conferred on one entity by another entity.
-
C.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
D.
honorificTitle
Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
-
E.
hasHonorificSystem
chosen
Indicates that a language or culture employs a structured system of honorifics to mark social status, respect, or formality in communication.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de272753e48190bc609482635280ff |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.