Triple
T21110708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sub-inspector Anant Velankar |
E520162
|
entity |
| Predicate | relationshipTypeWith Jyotsna Gokhale |
P75244
|
FINISHED |
| Object | romantic interest |
—
|
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: romantic interest | Statement: [Sub-inspector Anant Velankar, relationshipTypeWith Jyotsna Gokhale, romantic interest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Jyotsna Gokhale Context triple: [Sub-inspector Anant Velankar, relationshipTypeWith Jyotsna Gokhale, romantic interest]
-
A.
marriedToFirstPresidentOfIndia
Indicates being the spouse of the person who served as the first President of India.
-
B.
lifePartnerOfKeyFigureIn
Indicates that one entity is the life partner (such as spouse or long-term companion) of a key or central figure associated with another entity (such as an organization, event, or work).
-
C.
relationshipTypeWith Alicia Johns
chosen
Indicates the specific type or nature of the relationship that an entity has with Alicia Johns.
-
D.
relationshipToSita
Indicates the specific familial, social, or interpersonal relationship that one entity has to Sita.
-
E.
relationshipWithBharata
Indicates that there exists a specific type of relationship or association between an entity and Bharata.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72101f7308190beb202a052ff04d2 |
completed | April 21, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:54 p.m.