Triple
T23439427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anushka Sharma |
E565353
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object | NH10 |
—
|
NE NERFINISHED |
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: NH10 | Statement: [Anushka Sharma, producerOf, NH10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NH10 Context triple: [Anushka Sharma, producerOf, NH10]
-
A.
NH10
chosen
NH10 is a 2015 Indian thriller film known for its gritty portrayal of rural violence and strong lead performance by Anushka Sharma, who also co-produced it.
-
B.
National Route 105
National Route 105 is a Japanese national highway that runs through Akita Prefecture, connecting several inland municipalities including the city of Yurihonjō.
-
C.
NH 10A
NH 10A is a short state highway in New Hampshire that serves as a connector route near Hanover and the Vermont state line.
-
D.
National Route 108
National Route 108 is a Japanese national highway that connects coastal and inland cities in the Tōhoku region, facilitating regional travel and commerce.
-
E.
National Highway 10
National Highway 10 is a major Indian roadway that links the plains of West Bengal with the Himalayan state of Sikkim, serving as a key route for regional trade and travel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5de713c8190b35bfa66dddbd5af |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.