Triple
T26093949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidrohi |
E658207
|
entity |
| Predicate | associatedWithAuthorTitle |
P5175
|
FINISHED |
| Object | Rebel Poet |
—
|
NE NERFINISHED |
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: Rebel Poet | Statement: [Bidrohi, associatedWithAuthorTitle, Rebel Poet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAuthorTitle Context triple: [Bidrohi, associatedWithAuthorTitle, Rebel Poet]
-
A.
associatedWithAuthorWork
Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
-
B.
associatedWithAuthorRole
Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
-
C.
associatedWithAuthorType
Indicates that one entity has a specified type of association or role in relation to an author.
-
D.
associatedTitle
chosen
Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
-
E.
hasAuthorTitle
Indicates that an author holds or is designated by a specific title (e.g., professional, honorific, or role-based).
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: April 26, 2026, 7:49 p.m.