Triple
T21244979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David M. Rubenstein |
E523580
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Alexandra 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: Alexandra Rubenstein | Statement: [David M. Rubenstein, child, Alexandra Rubenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Rubenstein Context triple: [David M. Rubenstein, child, Alexandra Rubenstein]
-
A.
Alexandra Rubenstein
chosen
Alexandra Rubenstein is one of the daughters of American billionaire investor and philanthropist David M. Rubenstein.
-
B.
Alexandra Scherer
Alexandra Scherer is a German local politician who serves as the mayor of the spa town Bad Wurzach in Baden-Württemberg.
-
C.
Alexandra Behrs
Alexandra Behrs was a member of the Behrs family and a sister of Sofya Andreyevna Behrs, the wife of Russian writer Leo Tolstoy.
-
D.
Alexandra Paul
Alexandra Paul is an American actress best known for her role as Lt. Stephanie Holden on the television series "Baywatch."
-
E.
Alexandra Saks
Alexandra Saks is a film producer recognized for her work on independent and studio-backed feature films.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352621488190bd74c57798c7d658 |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:47 p.m.