Triple
T16353560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Saturnin of Toulouse |
E397116
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Saturnin
Saturnin is a Christian saint and early bishop of Toulouse, venerated as a martyr from the 3rd century.
|
E1208806
|
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: Saturnin | Statement: [Saint Saturnin of Toulouse, givenName, Saturnin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saturnin Context triple: [Saint Saturnin of Toulouse, givenName, Saturnin]
-
A.
Saturn
Saturn was an American automobile manufacturer created by General Motors as a separate, innovative small-car brand aimed at competing with Japanese imports.
-
B.
Saturn
Saturn is a gas giant planet known for its extensive and prominent ring system, orbiting the Sun as one of the outer planets in our Solar System.
-
C.
Saturn
Saturn is an ancient Roman god primarily associated with agriculture, wealth, and time, and was honored in the festival of Saturnalia.
-
D.
Saturn
Saturn is a Romanian Black Sea seaside resort town in Constanța County, known for its beaches and tourism.
-
E.
Malyi Saturn
Malyi Saturn was a major Soviet World War II offensive on the Eastern Front aimed at encircling and destroying Axis forces following the Battle of Stalingrad.
- 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: Saturnin Triple: [Saint Saturnin of Toulouse, givenName, Saturnin]
Generated description
Saturnin is a Christian saint and early bishop of Toulouse, venerated as a martyr from the 3rd century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saturnin Target entity description: Saturnin is a Christian saint and early bishop of Toulouse, venerated as a martyr from the 3rd century.
-
A.
Saturn
Saturn was an American automobile manufacturer created by General Motors as a separate, innovative small-car brand aimed at competing with Japanese imports.
-
B.
Saturn
Saturn is a gas giant planet known for its extensive and prominent ring system, orbiting the Sun as one of the outer planets in our Solar System.
-
C.
Saturn
Saturn is an ancient Roman god primarily associated with agriculture, wealth, and time, and was honored in the festival of Saturnalia.
-
D.
Saturn
Saturn is a Romanian Black Sea seaside resort town in Constanța County, known for its beaches and tourism.
-
E.
Malyi Saturn
Malyi Saturn was a major Soviet World War II offensive on the Eastern Front aimed at encircling and destroying Axis forces following the Battle of Stalingrad.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2faccab748190b11e0808e422f2ea |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db841dc8190bfe8a0d8fca1b309 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002f46da5c81909c6e726fe89a3f81 |
completed | May 10, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003063fd748190ba42c55b008202fc |
completed | May 10, 2026, 7:14 a.m. |
Created at: April 10, 2026, 5:07 a.m.