Triple
T7530948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henryk Sienkiewicz |
E178020
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Quo Vadis |
E228115
|
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: Quo Vadis | Statement: [Henryk Sienkiewicz, notableWork, Quo Vadis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quo Vadis Context triple: [Henryk Sienkiewicz, notableWork, Quo Vadis]
-
A.
Quo Vadis
chosen
Quo Vadis is a 1951 epic historical drama film set in ancient Rome, renowned for its grand scale, depiction of Nero’s reign, and early Christian persecution.
-
B.
Quo Vadis
"Quo Vadis" is a significant work by science historian and author George Dyson, reflecting his explorations of technology, computation, and their impact on human society.
-
C.
Domine, Quo Vadis?
"Domine, Quo Vadis?" is a renowned religious painting by Annibale Carracci depicting the biblical encounter between Saint Peter and the risen Christ on the Appian Way.
-
D.
Barabbas
Barabbas is a figure in the New Testament Gospels who was imprisoned for insurrection and released by Pontius Pilate instead of Jesus at the crowd’s demand.
-
E.
Ben-Hur
Ben-Hur is a 1959 epic historical drama film renowned for its grand scale, record-setting 11 Academy Awards, and iconic chariot race sequence.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8217b1c8190b3db453cee0fc4fd |
completed | March 27, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8463e08ac8190abd4d19b58067233 |
completed | March 28, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.