Triple
T32940047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Revision Committee |
E842641
|
entity |
| Predicate | productTitle |
P196094
|
FINISHED |
| Object | American Standard Version of the Bible |
—
|
NE NERFINISHED |
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: American Standard Version of the Bible | Statement: [American Revision Committee, productTitle, American Standard Version of the Bible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productTitle Context triple: [American Revision Committee, productTitle, American Standard Version of the Bible]
-
A.
productForm
Indicates the specific physical or presentation format in which a product is offered or delivered (e.g., tablet, liquid, package type).
-
B.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
-
C.
productWith
Indicates a relationship where one entity is associated with, contains, or is offered together with another entity as a product.
-
D.
productExample
Indicates that one entity serves as an illustrative or sample instance of a product associated with another entity.
-
E.
productionTitleOf
Indicates that one entity is the title associated with a particular production (such as a film, show, or performance).
- F. None of above. chosen
Provenance (4 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_69f34949727c81909d195c97de3341c8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
| PDg | Predicate description generation | batch_69fe066b623c819085205fbea901e3cf |
completed | May 8, 2026, 3:51 p.m. |
Created at: May 1, 2026, 1:20 a.m.