Triple
T6043808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear John (novel) |
E134614
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Nicholas Sparks |
E529142
|
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: Nicholas Sparks | Statement: [Dear John (novel), author, Nicholas Sparks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Sparks Context triple: [Dear John (novel), author, Nicholas Sparks]
-
A.
Nicholas Sparks
chosen
Nicholas Sparks is a bestselling American novelist known for his emotionally driven romantic dramas, many of which have been adapted into popular films.
-
B.
Winston Groom
Winston Groom was an American novelist and non-fiction writer best known as the author of the novel "Forrest Gump," which inspired the acclaimed film adaptation.
-
C.
Alan Webber
Alan Webber is an American politician and former business magazine co-founder who serves as the mayor of Santa Fe, New Mexico.
-
D.
Greg Iles
Greg Iles is an American novelist best known for his suspense and crime thrillers, many set in the American South.
-
E.
Francine Rivers
Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e2b1148190908c4dc43abee266 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1139b44888190bfa12d19e99ee673 |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:08 p.m.