Triple
T4395493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moskovitz |
E99476
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Moscovitz |
E99476
|
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: Moscovitz | Statement: [Moskovitz, hasVariantSpelling, Moscovitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moscovitz Context triple: [Moskovitz, hasVariantSpelling, Moscovitz]
-
A.
Moskovitz
chosen
Moskovitz is the surname of Dustin Moskovitz, an American entrepreneur best known as a co-founder of Facebook and Asana.
-
B.
Rothkowitz
Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
-
C.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
D.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
E.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352ab928c81909f4406d5df3e081b |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e536e1848190a2517ab351adfe48 |
completed | March 14, 2026, 10:46 p.m. |
Created at: March 12, 2026, 11:20 p.m.