Triple
T36647507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarti |
E904752
|
entity |
| Predicate | relationshipWithRajaHindustani |
P204985
|
FINISHED |
| Object | Wife |
—
|
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: Wife | Statement: [Aarti, relationshipWithRajaHindustani, Wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithRajaHindustani Context triple: [Aarti, relationshipWithRajaHindustani, Wife]
-
A.
relationshipWithBharata
Indicates that there exists a specific type of relationship or association between an entity and Bharata.
-
B.
relationshipToAlauddinKhalji
Indicates the nature of a person or entity’s relationship or connection to Alauddin Khalji.
-
C.
relationToNurJahan
Indicates a relationship or connection that an entity has specifically to Nur Jahan.
-
D.
relationshipToRama
Indicates the specific familial, social, or other relational connection that an entity has to Rama.
-
E.
relationshipWithRama
Indicates that there exists some form of relationship or association between an entity and Rama.
- 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_69f76e6d3a3c81909db73eda9e0516bd |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:11 p.m.