Triple
T652239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jewish War |
E11368
|
entity |
| Predicate | book1Content |
P4446
|
FINISHED |
| Object | history of the Hasmoneans and Herod the Great |
—
|
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: history of the Hasmoneans and Herod the Great | Statement: [The Jewish War, book1Content, history of the Hasmoneans and Herod the Great]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: book1Content Context triple: [The Jewish War, book1Content, history of the Hasmoneans and Herod the Great]
-
A.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
B.
primaryContent
chosen
Indicates that one entity serves as the main or most important content associated with another entity.
-
C.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
D.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
E.
hasCompanionBook
Indicates that one entity (typically a primary work) is associated with another entity that serves as its companion book, providing supplementary or related content.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f35acb08190a3a8248023ce07f9 |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.