Triple
T21061598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Petrie |
E518860
|
entity |
| Predicate | directed |
P7373
|
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: [Daniel Petrie, directed, Resurrection]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Resurrection Context triple: [Daniel Petrie, directed, Resurrection]
-
A.
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.
-
B.
Resurrection
"Resurrection" is a 2005 pop and rock-influenced studio album by American singer Anastacia, marking her return after a period of personal and health challenges.
-
C.
Resurrection
chosen
"Resurrection" is a 1980 American drama film exploring themes of near-death experience and spiritual healing, featuring Kurtwood Smith in a supporting role.
-
D.
Resurrection
Resurrection is a Christian rock band known for its faith-based lyrics and contemporary worship music.
-
E.
Resurrection
"Resurrection" is a television drama series featuring Michelle Fairley in a prominent role, centered on the mysterious return of deceased people to a small town.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb064a48190b892b78e27e8d0fa |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:38 p.m.