Triple
T1005862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CinemaScope |
E21708
|
entity |
| Predicate | notableFilm |
P22
|
FINISHED |
| Object | The Robe |
E118034
|
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: The Robe | Statement: [CinemaScope, notableFilm, The Robe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Robe Context triple: [CinemaScope, notableFilm, The Robe]
-
A.
The Robe
chosen
The Robe is a 1953 biblical epic drama film best known for being the first motion picture released in the widescreen CinemaScope format.
-
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.
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.
-
D.
Spartacus: Blood and Sand
Spartacus: Blood and Sand is a stylized, graphic historical drama television series that follows the rise of the gladiator Spartacus in ancient Rome.
-
E.
Brida
Brida is a novel by Brazilian author Paulo Coelho that follows a young Irish woman’s spiritual journey as she explores witchcraft, love, and self-discovery.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51303548190a5ee3c0797fc3245 |
completed | March 1, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba7063c8190ba79e974cf38cdea |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.