Triple
T8520575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Liszt |
E201683
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Christus |
E694
|
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: Christus | Statement: [Franz Liszt, notableWork, Christus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christus Context triple: [Franz Liszt, notableWork, Christus]
-
A.
Jesús
Jesús is a common Spanish given name derived from the name of Jesus Christ, widely used across Spanish-speaking countries.
-
B.
Rury Jezuickie
Rury Jezuickie is a historic district of Lublin, Poland, known as the birthplace of communist leader and postwar head of state Bolesław Bierut.
-
C.
Jesus Christ
chosen
Jesus Christ is believed by Christians to be the incarnate Son of God and the Savior of humanity whose life, death, and resurrection are the foundation of the Christian faith.
-
D.
Jesús María
Jesús María is a small city in the Los Altos region of Jalisco, Mexico, known for its traditional Mexican culture and agricultural surroundings.
-
E.
Jesús María
Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe628f8c48190a35201f9fde605cc |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e76dcd08190866fde75cd0ac389 |
completed | April 2, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:16 p.m.