Triple
T3507348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Daniel Salzmann |
E74106
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Salzmann |
E74106
|
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: Salzmann | Statement: [Johann Daniel Salzmann, familyName, Salzmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salzmann Context triple: [Johann Daniel Salzmann, familyName, Salzmann]
-
A.
Salzmann
chosen
Salzmann is a German surname of likely occupational or locational origin, historically borne by various notable figures in fields such as education, theology, and the arts.
-
B.
Salzman
Salzman is the surname of Linda Salzman Sagan, an American artist and writer known for co-designing the Pioneer plaque sent into space.
-
C.
Ussishkin
Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
-
D.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
E.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0b635c81909bc95ba2562d8f94 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb7d6ab881909bf4c895646af259 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:18 p.m.