Triple
T10531820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gourmohan |
E248459
|
entity |
| Predicate | associatedWithAuthorTheme |
P94402
|
FINISHED |
| Object | Tagore’s humanism |
—
|
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: Tagore’s humanism | Statement: [Gourmohan, associatedWithAuthorTheme, Tagore’s humanism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAuthorTheme Context triple: [Gourmohan, associatedWithAuthorTheme, Tagore’s humanism]
-
A.
associatedWithAuthorRole
Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
-
B.
associatedWithAuthorWork
Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
-
C.
associatedWithWorkTheme
Indicates a relationship where something is connected or related to a particular work theme or subject matter.
-
D.
placeAssociatedWithAuthor
Indicates a relationship where a place is connected to an author, such as by birth, residence, work, or significant activity.
-
E.
associatedWithAuthorCycle
Indicates a relationship where an entity is linked to a recurring or cyclical pattern involving an author, such as repeated collaborations, works, or roles over time.
- F. None of above. chosen
Provenance (4 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a17f23081909f3372e160e21670 |
completed | April 7, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:30 p.m.