Triple
T7864902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Couzy |
E182590
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Couzy |
E182590
|
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: Couzy | Statement: [Jean Couzy, hasFamilyName, Couzy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Couzy Context triple: [Jean Couzy, hasFamilyName, Couzy]
-
A.
Muggsy
Muggsy is the famous nickname of Hall of Fame Major League Baseball manager John McGraw, known for his fiery temperament and long tenure leading the New York Giants.
-
B.
Muggsy
Muggsy is the nickname of Tyrone "Muggsy" Bogues, the famously undersized NBA point guard known for his exceptional quickness and playmaking.
-
C.
Jean Couzy
chosen
Jean Couzy was a French mountaineer best known as one of the climbers who achieved the first ascent of the Himalayan peak Makalu in 1955.
-
D.
Maye
Maye is the first name of Maye Musk, a Canadian-South African model and dietitian known for her long-running fashion career and as the mother of entrepreneur Elon Musk.
-
E.
Cooke Maroney
Cooke Maroney is an American art gallery director known for his work in the contemporary art world and his marriage to actress Jennifer Lawrence.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36c0eaa48190a0df4c37c726546e |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b51c01481909c34a8d0efb89577 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:54 p.m.