Triple
T9119242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manusmriti |
E218801
|
entity |
| Predicate | hasModernReception |
P82904
|
FINISHED |
| Object | Highly controversial in contemporary India |
—
|
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: Highly controversial in contemporary India | Statement: [Manusmriti, hasModernReception, Highly controversial in contemporary India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernReception Context triple: [Manusmriti, hasModernReception, Highly controversial in contemporary India]
-
A.
hasContemporaryRecognition
Indicates that an entity is currently acknowledged, honored, or widely recognized in the present time or modern era.
-
B.
contemporaryReception
Indicates how a work, event, or figure was received, perceived, or evaluated by audiences and critics at the time it originally appeared or occurred.
-
C.
hasModernRelevance
chosen
Indicates that something maintains significance, applicability, or impact in contemporary times or current contexts.
-
D.
historicalReception
Indicates how an event, work, or figure was received, interpreted, or evaluated by people and institutions over time.
-
E.
hasCulturalReception
Indicates that an entity has been received, interpreted, or responded to within a particular cultural context or by a specific audience.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a7c6d48190a015efd17a017ca1 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:17 p.m.