Triple
T6480470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basic Christianity |
E146377
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Eerdmans |
E282296
|
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: Eerdmans | Statement: [Basic Christianity, publisher, Eerdmans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eerdmans Context triple: [Basic Christianity, publisher, Eerdmans]
-
A.
Eerdmans
chosen
Eerdmans is an American Christian publishing company known for its scholarly and theological books.
-
B.
Zondervan
Zondervan is a major Christian media and publishing company best known for producing and distributing popular Bible translations and religious books.
-
C.
Tyndale House Publishers
Tyndale House Publishers is a Christian publishing company best known for producing contemporary Bible translations and faith-based books.
-
D.
Crossway
Crossway is an evangelical Christian publishing ministry best known for producing Bibles and theological books, including the English Standard Version (ESV) translation.
-
E.
InterVarsity Press
InterVarsity Press is an evangelical Christian publishing house known for producing theological, biblical, and discipleship-oriented books for students, pastors, and lay readers.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4fe90c81908a7ce61e71f48a16 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c669e216608190af64f8e61ddf0feb |
completed | March 27, 2026, 11:28 a.m. |
Created at: March 22, 2026, 4:51 p.m.