Triple
T20942024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resurrection |
E515746
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Resurrection |
—
|
NE NERFINISHED |
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: Resurrection | Statement: [Resurrection, title, Resurrection]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Resurrection Context triple: [Resurrection, title, Resurrection]
-
A.
Resurrection
The Resurrection is the Christian belief that Jesus Christ rose from the dead on the third day after his crucifixion, signifying his victory over sin and death.
-
B.
Resurrection
Resurrection is a 1918 silent film adaptation of Leo Tolstoy’s novel, reflecting early 20th-century cinema’s interest in moral and spiritual redemption themes.
-
C.
Resurrection
Resurrection is a 1927 American silent drama film adaptation of Leo Tolstoy’s novel, notable for its exploration of guilt, redemption, and social injustice.
-
D.
Resurrection
Resurrection is a 1968 film, likely a drama, centered on themes of rebirth and moral or spiritual transformation.
-
E.
Resurrection
"Resurrection" is a 1980 American drama film exploring themes of near-death experience and spiritual healing, featuring Kurtwood Smith in a supporting role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f9571c448190b314a66e02772b1e |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.