Triple
T2397692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crossway |
E47687
|
entity |
| Predicate | publishesAuthors |
P22589
|
FINISHED |
| Object |
Jen Wilkin
Jen Wilkin is an American Christian author, Bible teacher, and speaker known for her books and studies that emphasize women’s theological education and in-depth Scripture study.
|
E263679
|
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: Jen Wilkin | Statement: [Crossway, publishesAuthors, Jen Wilkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jen Wilkin Context triple: [Crossway, publishesAuthors, Jen Wilkin]
-
A.
Priscilla Shirer
Priscilla Shirer is an American Christian author, Bible teacher, and speaker known for her work in women's ministry and appearances in faith-based films.
-
B.
Molly Smith
Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
-
C.
Molly Smith
Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
-
D.
Kelly Braffet
Kelly Braffet is an American novelist known for her dark, character-driven fiction, including works like "Save Yourself" and "Last Seen Leaving."
-
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: Jen Wilkin Triple: [Crossway, publishesAuthors, Jen Wilkin]
Generated description
Jen Wilkin is an American Christian author, Bible teacher, and speaker known for her books and studies that emphasize women’s theological education and in-depth Scripture study.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jen Wilkin Target entity description: Jen Wilkin is an American Christian author, Bible teacher, and speaker known for her books and studies that emphasize women’s theological education and in-depth Scripture study.
-
A.
Priscilla Shirer
Priscilla Shirer is an American Christian author, Bible teacher, and speaker known for her work in women's ministry and appearances in faith-based films.
-
B.
Molly Smith
Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
-
C.
Molly Smith
Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
-
D.
Kelly Braffet
Kelly Braffet is an American novelist known for her dark, character-driven fiction, including works like "Save Yourself" and "Last Seen Leaving."
-
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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abd0d942048190bc5c715faa850632 |
completed | March 7, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e081648190be42e9fc5046830f |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4a5011c8190bda6c487dab73131 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb59d0e5c819080bf5b34946b68ac |
completed | March 9, 2026, 11:57 a.m. |
Created at: March 4, 2026, 7:57 p.m.