Triple
T8751537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berea |
E207970
|
entity |
| Predicate | visitedBy |
P1096
|
FINISHED |
| Object | Silas |
E34825
|
NE 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: Silas | Statement: [Berea, visitedBy, Silas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silas Context triple: [Berea, visitedBy, Silas]
-
A.
Silas
chosen
Silas is an early Christian leader and missionary companion of Paul, mentioned in the New Testament for his role in spreading the gospel and strengthening the early Church.
-
B.
Silas
Silas is a fanatical albino monk and key antagonist in Dan Brown’s novel "The Da Vinci Code," known for his violent devotion and self-flagellation.
-
C.
Silas
Silas is the aging, itinerant farmhand whose return and decline drive the emotional and moral core of Robert Frost’s narrative poem "The Death of the Hired Man."
-
D.
Silas
Silas is a mysterious, otherworldly guardian figure who protects and mentors the boy Nobody Owens in Neil Gaiman’s novel "The Graveyard Book."
-
E.
Silas Duncan
Silas Duncan was a United States Navy officer best known for his service in the early 19th century, for which a World War II-era destroyer was later named in his honor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4326d8cc8190900f5f91da6ef6c8 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.