Triple
T9577288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meltzer |
E231076
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Meltser |
E231076
|
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: Meltser | Statement: [Meltzer, hasVariant, Meltser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meltser Context triple: [Meltzer, hasVariant, Meltser]
-
A.
Meltzer
chosen
Meltzer is a surname of Germanic origin borne by various notable individuals across fields such as politics, academia, and the arts.
-
B.
Lebzelter
Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
-
C.
Rothkowitz
Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
-
D.
Gershon Kekst
Gershon Kekst was a prominent American businessman and philanthropist known for his leadership in corporate communications and his significant support of Jewish and higher education institutions.
-
E.
Levshitz
Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ad7d108190a0b8c975351ea727 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16155b3288190ac135c3a1e58cc7e |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:05 p.m.