Triple
T14031755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kylian Mbappé |
E337606
|
entity |
| Predicate | youthClub |
P1088
|
FINISHED |
| Object | AS Bondy |
E613622
|
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: AS Bondy | Statement: [Kylian Mbappé, youthClub, AS Bondy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AS Bondy Context triple: [Kylian Mbappé, youthClub, AS Bondy]
-
A.
Bondy
chosen
Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
-
B.
Brian Bondy
Brian Bondy is a software engineer and entrepreneur best known as a co-founder and former CTO of the privacy-focused Brave web browser.
-
C.
Andy Bond
Andy Bond is a British businessman best known for serving as the chief executive of Asda, one of the UK’s largest supermarket chains.
-
D.
Eppstein
Eppstein is a small historic town in the German state of Hesse, known for its medieval castle and scenic location in the Taunus mountains.
-
E.
Sudie Bond
Sudie Bond was an American character actress known for her work in film, television, and theater, often appearing in supporting comedic and dramatic roles.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fab17008190981f1808726fa11c |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc337a5cc8190953b84255a401ada |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.