Triple
T12543550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarus Salii |
E299901
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lazarus |
E500437
|
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: Lazarus | Statement: [Lazarus Salii, givenName, Lazarus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazarus Context triple: [Lazarus Salii, givenName, Lazarus]
-
A.
Lazarus
Lazarus is the troubled, blues-playing ex-bluesman portrayed by Samuel L. Jackson in the 2006 Southern drama film "Black Snake Moan."
-
B.
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.
-
C.
Lazarus
chosen
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.
-
D.
Lazarus
Lazarus is a free, cross-platform visual integrated development environment (IDE) for Pascal and Object Pascal, designed to work with the Free Pascal compiler to create native applications for multiple operating systems.
-
E.
Lazar
Lazar is a masculine given name of Hebrew origin, commonly used in Slavic and other Eastern European cultures.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9547d6df4819080db8415d386ed38 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6685f99a08190b6fe4cc10f1c8d73 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:57 p.m.