Triple
T21377299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabrielle Rubenstein |
E527244
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rubenstein |
—
|
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: Rubenstein | Statement: [Gabrielle Rubenstein, familyName, Rubenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubenstein Context triple: [Gabrielle Rubenstein, familyName, Rubenstein]
-
A.
Rubenstein
chosen
Rubenstein is a Jewish-origin surname borne by numerous notable individuals across fields such as music, law, business, and academia.
-
B.
Schäffer
Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
-
C.
Schaech
Schaech is the surname of American actor and screenwriter Johnathon Schaech, known for roles in films like "That Thing You Do!" and various television series.
-
D.
Kostka
Kostka is a Polish surname most famously borne by Saint Stanislaus Kostka, a 16th-century Jesuit novice venerated in the Catholic Church.
-
E.
El Brendel
El Brendel was an American vaudeville and film comedian best known for his faux-Swedish accent and comic relief roles in early Hollywood talkies.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0c8768c8190ad7cddf5cd1d06f7 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.