Triple
T14879506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zelda Rubinstein |
E349960
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rubinstein |
E406756
|
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: Rubinstein | Statement: [Zelda Rubinstein, familyName, Rubinstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubinstein Context triple: [Zelda Rubinstein, familyName, Rubinstein]
-
A.
Rubinstein
chosen
Rubinstein is a Jewish surname of German and Yiddish origin borne by numerous notable figures in fields such as music, mathematics, and economics.
-
B.
Rosenstein
Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
-
C.
Schoenfeld
Schoenfeld is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
-
D.
Rubenfeld
Rubenfeld is a surname most notably associated with American actor and comedian Paul Reubens, best known for creating and portraying the character Pee-wee Herman.
-
E.
Rubin Kazan
Rubin Kazan is a Russian professional football club based in Kazan, known for competing in the Russian Premier League and winning multiple domestic titles in the late 2000s.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5670108190b41ef95dc318be60 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.