Triple
T10332240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Starobinski |
E242904
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Starobinski
Starobinski is a surname most notably associated with Jean Starobinski, a prominent Swiss literary critic, historian of ideas, and physician.
|
E857685
|
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: Starobinski | Statement: [Jean Starobinski, familyName, Starobinski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starobinski Context triple: [Jean Starobinski, familyName, Starobinski]
-
A.
Starobinsky
Starobinsky is a Russian theoretical physicist best known for pioneering the Starobinsky model of cosmic inflation in early-universe cosmology.
-
B.
Stoloff
Stoloff is a surname most notably associated with Morris Stoloff, an American musical director and composer prominent in Hollywood film music.
-
C.
Ostrower
Ostrower is the surname of Fayga Ostrower, a notable Polish-born Brazilian artist and printmaker.
-
D.
Shteynberg
Shteynberg is a variant spelling of the Jewish surname Steinberg, commonly found among Ashkenazi families.
-
E.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
- 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: Starobinski Triple: [Jean Starobinski, familyName, Starobinski]
Generated description
Starobinski is a surname most notably associated with Jean Starobinski, a prominent Swiss literary critic, historian of ideas, and physician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Starobinski Target entity description: Starobinski is a surname most notably associated with Jean Starobinski, a prominent Swiss literary critic, historian of ideas, and physician.
-
A.
Starobinsky
Starobinsky is a Russian theoretical physicist best known for pioneering the Starobinsky model of cosmic inflation in early-universe cosmology.
-
B.
Stoloff
Stoloff is a surname most notably associated with Morris Stoloff, an American musical director and composer prominent in Hollywood film music.
-
C.
Ostrower
Ostrower is the surname of Fayga Ostrower, a notable Polish-born Brazilian artist and printmaker.
-
D.
Shteynberg
Shteynberg is a variant spelling of the Jewish surname Steinberg, commonly found among Ashkenazi families.
-
E.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc1b0488190ac04da58a4987da0 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7504d49e88190b2739522f3ead702 |
completed | April 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69d7618b0f2481908149596dc86d4593 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77015ae688190870976309e2b912b |
completed | April 9, 2026, 9:23 a.m. |
Created at: April 6, 2026, 11:52 a.m.