Triple
T8380739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Dénis |
E197680
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dénis |
E74174
|
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: Dénis | Statement: [Harry Dénis, familyName, Dénis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dénis Context triple: [Harry Dénis, familyName, Dénis]
-
A.
Denis
chosen
Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
-
B.
Denis
Denis was a key member of Les Nabis, a late 19th-century group of avant-garde French artists who helped pioneer Symbolism and modernist painting.
-
C.
Benoît
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
-
D.
Denis Paul
Denis Paul was a scholar and editor known for his work on Ludwig Wittgenstein’s posthumously published philosophical writings.
-
E.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c57080819097eef2b7e46eaaee |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde803ac088190ae185ef444c9c7b9 |
completed | April 2, 2026, 3:52 a.m. |
Created at: March 30, 2026, 6:02 p.m.