Triple
T2487934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Certainty |
E55971
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Denis Paul
Denis Paul was a scholar and editor known for his work on Ludwig Wittgenstein’s posthumously published philosophical writings.
|
E271359
|
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: Denis Paul | Statement: [On Certainty, editor, Denis Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denis Paul Context triple: [On Certainty, editor, Denis Paul]
-
A.
Denis
Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
-
B.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
C.
Jean Raoux
Jean Raoux was a French painter of the late 17th and early 18th centuries, known for his elegant genre scenes and portraits that bridged the Baroque and Rococo styles.
-
D.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
E.
Roger Perron
Roger Perron is a real-life patriarch of the Perron family whose haunting experiences in the 1970s inspired the events depicted in the horror film "The Conjuring."
- 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: Denis Paul Triple: [On Certainty, editor, Denis Paul]
Generated description
Denis Paul was a scholar and editor known for his work on Ludwig Wittgenstein’s posthumously published philosophical writings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denis Paul Target entity description: Denis Paul was a scholar and editor known for his work on Ludwig Wittgenstein’s posthumously published philosophical writings.
-
A.
Denis
Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
-
B.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
C.
Jean Raoux
Jean Raoux was a French painter of the late 17th and early 18th centuries, known for his elegant genre scenes and portraits that bridged the Baroque and Rococo styles.
-
D.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
E.
Roger Perron
Roger Perron is a real-life patriarch of the Perron family whose haunting experiences in the 1970s inspired the events depicted in the horror film "The Conjuring."
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd179c44881909cd6c7626cadaf10 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17bca6f88190a63672fb3372f0be |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1b7224488190bf896b2c77c3ba0a |
completed | March 9, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1c7b0f088190870b2ed18756b0d5 |
completed | March 9, 2026, 7:16 p.m. |
Created at: March 6, 2026, 9:45 p.m.