Triple
T10752294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Case 39 |
E253598
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Emily Jenkins |
E580411
|
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: Emily Jenkins | Statement: [Case 39, mainCharacter, Emily Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Jenkins Context triple: [Case 39, mainCharacter, Emily Jenkins]
-
A.
Emily Jenkins
chosen
Emily Jenkins is an American author best known for her children's books and young adult fiction, often written under the pen name E. Lockhart.
-
B.
Deborah Hopkinson
Deborah Hopkinson is an American author best known for her historical fiction and nonfiction books for children and young adults, often highlighting social justice and lesser-known figures from history.
-
C.
Pamela Gray
Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
-
D.
Debbie Ridpath Ohi
Debbie Ridpath Ohi is a Canadian author and illustrator best known for her whimsical, expressive artwork in children's picture books and middle-grade fiction.
-
E.
Rachel Lapp
Rachel Lapp is a young Amish widow and mother who becomes entangled with a big-city detective in the 1985 crime thriller film "Witness."
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbdb897f7c81909002f2478613eff8 |
completed | April 12, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:15 p.m.