Triple
T4358371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Toof |
E98605
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Grace |
E295685
|
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: Grace | Statement: [Grace Toof, givenName, Grace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grace Context triple: [Grace Toof, givenName, Grace]
-
A.
Grace
Grace is the central Christian concept of God’s unmerited favor and loving initiative toward humanity, enabling salvation and spiritual transformation.
-
B.
Grace
chosen
Grace is a feminine given name of Latin origin meaning "grace" or "favor," often associated with elegance and kindness.
-
C.
Grace
"Grace" is a British crime drama television series starring John Simm as Detective Superintendent Roy Grace, adapted from Peter James's bestselling novels.
-
D.
Grace
"Grace" is a popular contemporary gospel album by Tasha Cobbs known for its powerful worship songs and breakout hit "Break Every Chain."
-
E.
Grace
Grace is a skilled and enigmatic thief who becomes entangled with Ethan Hunt and the IMF team in the action film "Mission: Impossible – Dead Reckoning Part One."
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c7fa1881908bdc844a7142eb65 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbbcb6188190a8a4da6a080f0d61 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.