Triple
T17318113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passions |
E420481
|
entity |
| Predicate | hasProtagonist |
P8706
|
FINISHED |
| Object | Grace Bennett |
—
|
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: Grace Bennett | Statement: [Passions, hasProtagonist, Grace Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grace Bennett Context triple: [Passions, hasProtagonist, Grace Bennett]
-
A.
Grace Bennett
chosen
Grace Bennett is the protagonist of the novel "Passions," around whom the story’s central emotional and dramatic conflicts revolve.
-
B.
Anne Bennett
Anne Bennett is a mathematician after whom the Anne Bennett Prize is named, recognizing her contributions to the field.
-
C.
Rue Bennett
Rue Bennett is the troubled, drug-addicted teenage protagonist of the television series "Euphoria," known for her raw, introspective narration and complex emotional struggles.
-
D.
Joanna Bennett
Joanna Bennett is a private individual known primarily through her family connection by marriage to Susan Crow.
-
E.
Antonia Bennett
Antonia Bennett is an American jazz and pop singer and the daughter of legendary vocalist Tony Bennett.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399ea7dc8190a0ecab7534fe16c3 |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.