Triple
T1243577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ephron the Hittite |
E26712
|
entity |
| Predicate | genreOfSource |
P14
|
FINISHED |
| Object | religious scripture |
—
|
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: religious scripture | Statement: [Ephron the Hittite, genreOfSource, religious scripture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfSource Context triple: [Ephron the Hittite, genreOfSource, religious scripture]
-
A.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
B.
genre
chosen
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
C.
genreSpecialty
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
D.
genreRecognized
Indicates that a particular genre has been identified or acknowledged as applicable to an entity.
-
E.
genreContext
Indicates the contextual genre or categorical style associated with an entity, such as the thematic or stylistic framework in which it is situated.
- F. None of above.
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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf636e208190a4d56806db61916c |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.