Triple
T21110611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kulbhushan Kharbanda |
E520160
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | Water |
—
|
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: Water | Statement: [Kulbhushan Kharbanda, hasActedIn, Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Water Context triple: [Kulbhushan Kharbanda, hasActedIn, Water]
-
A.
Water
Water is a fundamental chemical substance (H₂O) essential for life, known for its roles in biological processes, climate regulation, and human civilization.
-
B.
Water
"Water" is a popular hip-hop track by Chicago rapper Lil Bibby, known for its gritty lyrics and heavy, drill-influenced production.
-
C.
Water
"Water" is a gospel-infused hip-hop track by Kanye West from his 2019 album *Jesus Is King*, noted for its minimalist production and spiritual, cleansing-themed lyrics.
-
D.
Water
chosen
Water is a 2005 Canadian-Indian drama film by Deepa Mehta that explores the lives and struggles of Hindu widows in 1930s colonial India.
-
E.
Frsh Waters
Frsh Waters is a rapper and member of the Chicago-based hip-hop collective Pivot Gang.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72101f7308190beb202a052ff04d2 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:54 p.m.