Triple
T15230969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalpana |
E363997
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Kalpanaa |
E363997
|
NE 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: Kalpanaa | Statement: [Kalpana, hasVariant, Kalpanaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalpanaa Context triple: [Kalpana, hasVariant, Kalpanaa]
-
A.
Kalpana
chosen
Kalpana is a feminine given name of Indian origin, notably borne by astronaut Kalpana Chawla.
-
B.
Tarpeena
Tarpeena is a small rural town and locality in South Australia, known historically for its timber and forestry industries.
-
C.
Aradhana
Aradhana is a landmark 1969 Hindi romantic drama film, celebrated for its music and performances, that significantly boosted the stardom of its lead actors.
-
D.
Mission Mangal
Mission Mangal is a 2019 Indian Hindi-language drama film inspired by ISRO’s Mars Orbiter Mission, depicting a team of scientists who successfully launch India’s first interplanetary expedition.
-
E.
Manjira
Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078e27408190bc13c0ca441f5594 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3beae88190a91af2c9a7def8f8 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:12 a.m.