Triple
T17369136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvana Mangano |
E422262
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Barabbas |
E117424
|
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: Barabbas | Statement: [Silvana Mangano, notableWork, Barabbas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barabbas Context triple: [Silvana Mangano, notableWork, Barabbas]
-
A.
Barabbas
chosen
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.
-
B.
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.
-
C.
Acts of Pilate
Acts of Pilate is an early Christian apocryphal text that purports to record Pontius Pilate’s official report on the trial, crucifixion, and resurrection of Jesus.
-
D.
Messala in Ben-Hur
Messala in Ben-Hur is the ambitious and ruthless Roman officer whose betrayal of his childhood friend Judah Ben-Hur drives the central conflict of the 1959 epic film.
-
E.
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.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6790448190a24047523a019f81 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.