Triple
T9867946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie James |
E239881
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Lois Duncan |
E459251
|
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: Lois Duncan | Statement: [Julie James, createdBy, Lois Duncan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lois Duncan Context triple: [Julie James, createdBy, Lois Duncan]
-
A.
Lois Duncan
chosen
Lois Duncan was an American author best known for her suspenseful young adult novels that often blend mystery, psychological tension, and elements of the supernatural.
-
B.
Barbara McLean
Barbara McLean was a highly influential American film editor of Hollywood’s studio era, renowned for her work on numerous classic films and for helping shape the art of cinematic editing.
-
C.
Dorothy B. Hughes
Dorothy B. Hughes was an American crime and noir novelist and critic, best known for her psychologically complex suspense fiction that was frequently adapted for film.
-
D.
Dorothy Lindsey
Dorothy Lindsey is known as the spouse of the late American character actor Ned Beatty.
-
E.
Betty Smith
Betty Smith was an American author best known for her classic coming-of-age novel "A Tree Grows in Brooklyn."
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d34e4c81908c0fc14dd6d015cc |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e45add0481909a0416035054a563 |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:36 p.m.