Triple
T6506574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Lissitzky |
E150023
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lazar |
E380156
|
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: Lazar | Statement: [El Lissitzky, givenName, Lazar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazar Context triple: [El Lissitzky, givenName, Lazar]
-
A.
Lazar
chosen
Lazar is a masculine given name of Hebrew origin, commonly used in Slavic and other Eastern European cultures.
-
B.
Lazarus
Lazarus is the troubled, blues-playing ex-bluesman portrayed by Samuel L. Jackson in the 2006 Southern drama film "Black Snake Moan."
-
C.
Lazarus
"Lazarus" is a song and stage musical by David Bowie, noted for its haunting reflection on mortality and its close association with his final artistic period.
-
D.
Lazarus
Lazarus is a given name of Hebrew origin meaning "God has helped," best known from the biblical figure resurrected by Jesus in the New Testament.
-
E.
Lazarus Salii
Lazarus Salii was a Palauan politician who served as President of Palau during the late 1980s, playing a key role in the country’s early years of self-governance.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6996818c881909d036f916da0efb5 |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb4aa1708190aa58a5c40af56eb2 |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:43 p.m.