Triple
T23853023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezekiel 3:12 |
E592223
|
entity |
| Predicate | chapterContext |
P154189
|
FINISHED |
| Object |
Ezekiel 3
Ezekiel 3 is a chapter in the Hebrew Bible/Old Testament that recounts the prophet Ezekiel’s commissioning, symbolic eating of a scroll, and his role as a watchman to warn Israel of impending judgment.
|
E1603057
|
NE FINISHED |
How this triple was built (3 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: Ezekiel 3 | Statement: [Ezekiel 3:12, chapterContext, Ezekiel 3]
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: Ezekiel 3 Triple: [Ezekiel 3:12, chapterContext, Ezekiel 3]
Generated description
Ezekiel 3 is a chapter in the Hebrew Bible/Old Testament that recounts the prophet Ezekiel’s commissioning, symbolic eating of a scroll, and his role as a watchman to warn Israel of impending judgment.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chapterContext Context triple: [Ezekiel 3:12, chapterContext, Ezekiel 3]
-
A.
chapterBefore
Indicates that one chapter occurs earlier in sequence or order than another chapter.
-
B.
chapterOn
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
-
C.
chapterAfter
Indicates that one chapter directly follows another in a sequential ordering.
-
D.
chapterMentioned
Indicates that a specific chapter is referenced or cited within a given context or source.
-
E.
sectionContext
Indicates that one element occurs within the contextual scope or environment defined by a particular section of a larger structure or document.
- F. None of above. chosen
Provenance (7 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c9887e5c819089437769acf684c4 |
completed | April 29, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f69b147308190afcb690b4af33533 |
completed | May 21, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_6a0f6a5e0c5c8190af8e682cd9736a6b |
completed | May 21, 2026, 8:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f6d4eddf0819081caec7518121664 |
completed | May 21, 2026, 8:38 p.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:11 p.m.