Triple
T2104625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denis Savard |
E37164
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Denis |
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: Denis | Statement: [Denis Savard, givenName, Denis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denis Context triple: [Denis Savard, givenName, Denis]
-
A.
Denis
chosen
Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
-
B.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
C.
Harry Dénis
Harry Dénis was a Dutch footballer and national team captain known for representing the Netherlands at multiple early 20th-century Olympic Games.
-
D.
Sergei Denham
Sergei Denham was a Russian-born American ballet impresario and director best known for leading the Ballet Russe de Monte Carlo and helping to shape mid-20th-century ballet in the United States.
-
E.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbadcd4a081909d60b9b241950335 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3069f78c819092a6d9d903e4df13 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:43 p.m.