Triple
T20482521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. S. Lewis |
E502494
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | A Grief Observed |
—
|
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: A Grief Observed | Statement: [C. S. Lewis, notableWork, A Grief Observed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Grief Observed Context triple: [C. S. Lewis, notableWork, A Grief Observed]
-
A.
A Grief Observed
A Grief Observed is a music release by English actor and musician Laurence Fox, showcasing his work as a recording artist.
-
B.
A Grief Observed
chosen
A Grief Observed is C. S. Lewis’s deeply personal reflection on the loss of his wife, exploring faith, doubt, and mourning through a series of raw, introspective journal entries.
-
C.
Notes on Grief
Notes on Grief is a poignant memoir-essay by Chimamanda Ngozi Adichie that reflects on the death of her father and the universal experience of mourning.
-
D.
A Prayer for the Dying
A Prayer for the Dying is a thriller novel by Jack Higgins that follows an IRA hitman seeking redemption while being hunted in London.
-
E.
A Prayer for the Dying
A Prayer for the Dying is a dark historical novel by Stewart O'Nan that follows a Civil War veteran-turned-sheriff confronting a devastating epidemic and wildfire in a small 19th-century Wisconsin 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b57fa9c819091d12320d46a0cee |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.