Triple
T22923268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shamit Kachru |
E569220
|
entity |
| Predicate | hasCoAuthor |
P2389
|
FINISHED |
| Object | Renata Kallosh |
—
|
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: Renata Kallosh | Statement: [Shamit Kachru, hasCoAuthor, Renata Kallosh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renata Kallosh Context triple: [Shamit Kachru, hasCoAuthor, Renata Kallosh]
-
A.
Renata Kallosh
chosen
Renata Kallosh is a theoretical physicist known for her influential work in supergravity, string theory, and cosmology.
-
B.
Renata Koffritz
Renata Koffritz is a character in Saul Bellow’s novel "Humboldt’s Gift," involved in the complex personal and social entanglements surrounding the protagonist.
-
C.
Renata Gorczynski
Renata Gorczynski is a literary translator known for her English translation of Adam Zagajewski’s poetry collection "Mysticism for Beginners."
-
D.
Olga Kurkulina
Olga Kurkulina is an Israeli bodybuilder and actress best known for playing the villain Mother Russia in the superhero film "Kick-Ass 2."
-
E.
Anna Plochl
Anna Plochl was the commoner who became the morganatic wife of Archduke John of Austria, noted for their unconventional marriage across class lines in the 19th-century Habsburg Empire.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d7973c8190b09a5690fd1d3f28 |
completed | April 29, 2026, 3:53 a.m. |
Created at: April 17, 2026, 3:43 p.m.