Triple
T19575278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edna Mae McCauley |
E489838
|
entity |
| Predicate | filmTitle |
P9968
|
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: [Edna Mae McCauley, filmTitle, Resurrection]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Resurrection Context triple: [Edna Mae McCauley, filmTitle, Resurrection]
-
A.
Resurrection
Resurrection is a 1958 film adaptation of Leo Tolstoy’s novel, depicting themes of guilt, redemption, and moral awakening.
-
B.
Resurrection
chosen
Resurrection is a 1968 film, likely a drama, centered on themes of rebirth and moral or spiritual transformation.
-
C.
Resurrection
Resurrection is the popular nickname of Gustav Mahler’s Symphony No. 2 in C minor, a monumental late-Romantic work exploring themes of death and spiritual rebirth.
-
D.
Resurrection
Resurrection is a Christian rock band known for its faith-based lyrics and contemporary worship music.
-
E.
Resurrection
"Resurrection" is a song by the English rock band PPK, best known for its trance-influenced electronic sound and popularity in the early 2000s.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.