Triple
T2150159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Tyndale |
E47159
|
entity |
| Predicate | printedBy |
P7012
|
FINISHED |
| Object |
Peter Quentel
Peter Quentel was a 16th-century Cologne-based printer known for producing early Protestant works, including editions associated with William Tyndale.
|
E239400
|
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: Peter Quentel | Statement: [William Tyndale, printedBy, Peter Quentel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Quentel Context triple: [William Tyndale, printedBy, Peter Quentel]
-
A.
Ty Finn
Ty Finn is a person primarily known in relation to Isaac, with whom he has a notable personal connection.
-
B.
Peter De Potter
Peter De Potter is a Belgian visual artist and graphic designer known for his conceptual, text-driven imagery and collaborations with musicians and fashion brands.
-
C.
Gerard
Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
-
D.
Alan Durband
Alan Durband was a British teacher, writer, and influential drama educator from Liverpool, known for his popular guides to Shakespeare and his impact on English education.
-
E.
Quentin
Quentin is a fictional character appearing in the post-apocalyptic virtual reality shooter game "After the Fall."
- 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: Peter Quentel Triple: [William Tyndale, printedBy, Peter Quentel]
Generated description
Peter Quentel was a 16th-century Cologne-based printer known for producing early Protestant works, including editions associated with William Tyndale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Quentel Target entity description: Peter Quentel was a 16th-century Cologne-based printer known for producing early Protestant works, including editions associated with William Tyndale.
-
A.
Ty Finn
Ty Finn is a person primarily known in relation to Isaac, with whom he has a notable personal connection.
-
B.
Peter De Potter
Peter De Potter is a Belgian visual artist and graphic designer known for his conceptual, text-driven imagery and collaborations with musicians and fashion brands.
-
C.
Gerard
Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
-
D.
Alan Durband
Alan Durband was a British teacher, writer, and influential drama educator from Liverpool, known for his popular guides to Shakespeare and his impact on English education.
-
E.
Quentin
Quentin is a fictional character appearing in the post-apocalyptic virtual reality shooter game "After the Fall."
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe45dbf481909c0da056a1a99ece |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58dc0b608190b5c6aed5b6b034fd |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae599c6b288190b7e173ffc505c605 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a446350819080cdacd9a98f8de2 |
completed | March 9, 2026, 5:27 a.m. |
Created at: March 4, 2026, 7:44 p.m.