Triple
T9228288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Minsky |
E221745
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Juliana Minsky |
E621558
|
NE FINISHED |
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: Juliana Minsky | Statement: [Margaret Minsky, hasSibling, Juliana Minsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juliana Minsky Context triple: [Margaret Minsky, hasSibling, Juliana Minsky]
-
A.
Juliana Minsky
Juliana Minsky is a daughter of pioneering artificial intelligence researcher Marvin Minsky.
-
B.
Juliana Minsky
chosen
Juliana Minsky is a member of the Minsky family, related to Henry Minsky and connected to the legacy of computer scientist Marvin Minsky.
-
C.
Miriam Weinstein
Miriam Weinstein is the mother of film producer Harvey Weinstein, whose first name inspired the name of the film company Miramax.
-
D.
Margaret Minsky
Margaret Minsky is an American computer scientist and researcher known for her work in human-computer interaction and educational technology, and as the daughter of AI pioneer Marvin Minsky.
-
E.
Julia Berg
Julia Berg was the wife of German-American painter and Bauhaus master Lyonel Feininger, known primarily through her association with his life and work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa0a7608190b10d913e5e3d1b3e |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100b8f80c8190bef93de787227a51 |
completed | April 4, 2026, 12:14 p.m. |
Created at: March 30, 2026, 7:29 p.m.