Triple
T4010825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Lazare |
E90639
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lazare |
E144229
|
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: Lazare | Statement: [Bernard Lazare, givenName, Lazare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazare Context triple: [Bernard Lazare, givenName, Lazare]
-
A.
Lazare
chosen
Lazare is a masculine given name of French origin, notably borne by the French mathematician, physicist, and statesman Lazare Carnot.
-
B.
Lazar
Lazar is a masculine given name of Hebrew origin, commonly used in Slavic and other Eastern European cultures.
-
C.
Lazarus
Lazarus is the troubled, blues-playing ex-bluesman portrayed by Samuel L. Jackson in the 2006 Southern drama film "Black Snake Moan."
-
D.
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.
-
E.
Lazarus of Bethany
Lazarus of Bethany is a New Testament figure whom Jesus famously raised from the dead, symbolizing resurrection and eternal life in Christian tradition.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa86c92c81908d8a610b14e22131 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c6df2e88190b6fd58bd8102d62a |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.