Triple
T16589168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neeraj Kabi |
E403036
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hichki |
E1202120
|
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: Hichki | Statement: [Neeraj Kabi, notableWork, Hichki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hichki Context triple: [Neeraj Kabi, notableWork, Hichki]
-
A.
Hichki
chosen
Hichki is a 2018 Hindi drama film starring Rani Mukerji as a teacher with Tourette syndrome who overcomes social and professional challenges to inspire her students.
-
B.
Kichha
Kichha is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural markets and proximity to the industrial hub of Rudrapur.
-
C.
Chacchi
Chacchi is a regional dialect of the Lahndi (Western Punjabi) language spoken in parts of northern Pakistan.
-
D.
Chiuri
Chiuri is an Italian surname most prominently associated with Maria Grazia Chiuri, the influential fashion designer and creative director at Dior.
-
E.
Chachi
Chachi is a fictional character from the American TV sitcom "Happy Days," known as Fonzie's younger cousin and Joanie Cunningham's love interest.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599f3d18819082b3e6eef5506731 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007599dcd4819089bbd0569b3d9a12 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.