Triple
T6274164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenkins |
E140612
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Emily Jenkins
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.
|
E580411
|
NE FINISHED |
How this triple was built (4 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: [Jenkins, hasNotableBearer, Emily Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Jenkins Context triple: [Jenkins, hasNotableBearer, Emily Jenkins]
-
A.
Pamela Gray
Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
-
B.
Gail Carson Levine
Gail Carson Levine is an American author best known for her Newbery Honor–winning children's fantasy novel "Ella Enchanted."
-
C.
Nancy Springer
Nancy Springer is an American author best known for her mystery novels, including the Enola Holmes series that reimagines Sherlock Holmes’s younger sister as a teenage detective.
-
D.
Lauren Munsch
Lauren Munsch is a film producer best known for her work on the coming-of-age drama "The Wackness."
-
E.
Rebecca Giblin
Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emily Jenkins Triple: [Jenkins, hasNotableBearer, Emily Jenkins]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Jenkins Target entity description: 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.
-
A.
Pamela Gray
Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
-
B.
Gail Carson Levine
Gail Carson Levine is an American author best known for her Newbery Honor–winning children's fantasy novel "Ella Enchanted."
-
C.
Nancy Springer
Nancy Springer is an American author best known for her mystery novels, including the Enola Holmes series that reimagines Sherlock Holmes’s younger sister as a teenage detective.
-
D.
Lauren Munsch
Lauren Munsch is a film producer best known for her work on the coming-of-age drama "The Wackness."
-
E.
Rebecca Giblin
Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
- F. None of above. chosen
Provenance (5 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063c0629c8190805ddf1a604e9ca4 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2446ad060819094acd817ba5eadc9 |
completed | March 24, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_69c4fb6bb9bc8190a29ae09221aa5464 |
completed | March 26, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fc075dd881908230bb66d1445d5a |
completed | March 26, 2026, 9:27 a.m. |
Created at: March 22, 2026, 4:25 p.m.