Triple
T2069141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Weinberg |
E45975
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Weinberg |
E140687
|
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: Weinberg | Statement: [Max Weinberg, familyName, Weinberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weinberg Context triple: [Max Weinberg, familyName, Weinberg]
-
A.
Weinberg
chosen
Weinberg is a surname most prominently associated with Steven Weinberg, the Nobel Prize–winning theoretical physicist known for his work on the unification of fundamental forces.
-
B.
Guralnik
Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
-
C.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
-
D.
Borstein
Borstein is the surname of American actress and comedian Alex Borstein, known for her voice role as Lois Griffin on "Family Guy" and her performance on "The Marvelous Mrs. Maisel."
-
E.
Wess
Wess is a given name, typically used as a shortened or variant form of Wesley.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f51a008190aead0173a9289204 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae27289eb081909bfbc9bf2cd14878 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:41 p.m.