Triple
T3952216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasha Kropinski |
E84889
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kasha
Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
|
E402540
|
NE FINISHED |
How this triple was built (4 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: Kasha | Statement: [Kasha Kropinski, givenName, Kasha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasha Context triple: [Kasha Kropinski, givenName, Kasha]
-
A.
Rava
Rava was a prominent fourth-century Babylonian Talmudic sage whose legal debates with his colleague Abaye are central to rabbinic Jewish law and scholarship.
-
B.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
C.
Kurma
Kurma is the turtle incarnation of the Hindu god Vishnu, known for supporting Mount Mandara during the churning of the cosmic ocean.
-
D.
Okhla
Okhla is a locality in South Delhi, India, known for its industrial areas, residential colonies, and proximity to the Yamuna River.
-
E.
Koki
Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kasha Triple: [Kasha Kropinski, givenName, Kasha]
Generated description
Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kasha Target entity description: Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
-
A.
Rava
Rava was a prominent fourth-century Babylonian Talmudic sage whose legal debates with his colleague Abaye are central to rabbinic Jewish law and scholarship.
-
B.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
C.
Kurma
Kurma is the turtle incarnation of the Hindu god Vishnu, known for supporting Mount Mandara during the churning of the cosmic ocean.
-
D.
Okhla
Okhla is a locality in South Delhi, India, known for its industrial areas, residential colonies, and proximity to the Yamuna River.
-
E.
Koki
Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
- F. None of above. chosen
Provenance (5 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef939d1308190930dc2c8272eafa4 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533a80d4c8190bb1aac1b2900d9a8 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b5341fb74081909a33753e5fdd5c32 |
completed | March 14, 2026, 10:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b534d279548190bee44aea7828ed3b |
completed | March 14, 2026, 10:13 a.m. |
Created at: March 9, 2026, 3:30 p.m.