Triple
T3684267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Prince Lazar |
E78186
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lazar
Lazar is a masculine given name of Hebrew origin, commonly used in Slavic and other Eastern European cultures.
|
E380156
|
NE FINISHED |
How this triple was built (4 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: [Saint Prince Lazar, givenName, Lazar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazar Context triple: [Saint Prince Lazar, givenName, Lazar]
-
A.
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.
-
B.
Lazare
Lazare is a masculine given name of French origin, notably borne by the French mathematician, physicist, and statesman Lazare Carnot.
-
C.
Łazarz
Łazarz is a central district of Poznań, Poland, known for its historic urban architecture and major event venues.
-
D.
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.
-
E.
Lázaro
Lázaro is the baptismal name of You Heung-sik, a South Korean cardinal of the Catholic Church and Prefect of the Dicastery for the Clergy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lazar Triple: [Saint Prince Lazar, givenName, Lazar]
Generated description
Lazar is a masculine given name of Hebrew origin, commonly used in Slavic and other Eastern European cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lazar Target entity description: Lazar is a masculine given name of Hebrew origin, commonly used in Slavic and other Eastern European cultures.
-
A.
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.
-
B.
Lazare
Lazare is a masculine given name of French origin, notably borne by the French mathematician, physicist, and statesman Lazare Carnot.
-
C.
Łazarz
Łazarz is a central district of Poznań, Poland, known for its historic urban architecture and major event venues.
-
D.
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.
-
E.
Lázaro
Lázaro is the baptismal name of You Heung-sik, a South Korean cardinal of the Catholic Church and Prefect of the Dicastery for the Clergy.
- F. None of above. chosen
Provenance (5 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc49644d08190866d6c5df9d2b48d |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3b86de88190bf4d39aae48ef930 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c78bca688190bb06f64827285790 |
completed | March 14, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c7f33dec8190b71ea08cb1d34c32 |
completed | March 14, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:26 p.m.