Triple
T5182216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commentary on the Talmud |
E116946
|
entity |
| Predicate | eraOfAuthor |
P61939
|
FINISHED |
| Object | 13th century |
—
|
LITERAL 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: 13th century | Statement: [Commentary on the Talmud, eraOfAuthor, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfAuthor Context triple: [Commentary on the Talmud, eraOfAuthor, 13th century]
-
A.
eraOfMajorWorks
Indicates the historical period during which an entity produced its most significant or influential works.
-
B.
yearOfAuthorDeathRelation
Indicates the specific year in which the referenced author died.
-
C.
authorTraditionallyAscribedTo
Indicates that authorship of a work is customarily or historically attributed to an entity, even if definitive proof of authorship may be uncertain or disputed.
-
D.
authorBirthYear
Indicates the year in which the author of a work or text was born.
-
E.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799d50388190bf2b7dfdd90949e9 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:46 p.m.