Triple
T14154348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Silas |
E350772
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Silas
Silas is a surname most prominently associated with American basketball coach Stephen Silas.
|
E1083950
|
NE FINISHED |
How this triple was built (4 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: [Stephen Silas, familyName, Silas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silas Context triple: [Stephen Silas, familyName, Silas]
-
A.
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.
-
B.
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."
-
C.
Silas
Silas is a mysterious, otherworldly guardian figure who protects and mentors the boy Nobody Owens in Neil Gaiman’s novel "The Graveyard Book."
-
D.
Silas
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.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Silas Triple: [Stephen Silas, familyName, Silas]
Generated description
Silas is a surname most prominently associated with American basketball coach Stephen Silas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silas Target entity description: Silas is a surname most prominently associated with American basketball coach Stephen Silas.
-
A.
Silas
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. chosen
Provenance (5 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6133754881908e1e97db71772deb |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ec6448819087e50aac964ec637 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd06d23af481909924b61260788f0b |
completed | May 7, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd075f7a40819097de4bdbd3fad547 |
completed | May 7, 2026, 9:42 p.m. |
Created at: April 10, 2026, 12:58 a.m.