Triple
T5933822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelin |
E131996
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Bibendum |
E555274
|
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: Bibendum | Statement: [Michelin, mascot, Bibendum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bibendum Context triple: [Michelin, mascot, Bibendum]
-
A.
Bibendum
chosen
Bibendum, also known as the Michelin Man, is the iconic, rotund white mascot of the Michelin tire company and one of the world’s oldest and most recognizable brand characters.
-
B.
Guy le Gros
Guy le Gros is another name for Pope Clement IV, the 13th-century head of the Catholic Church and ruler of the Papal States.
-
C.
Fatso
Fatso is one of the mischievous Ghostly Trio uncles in the 1995 live-action film "Casper," known for his gluttonous, crude, and comedic personality.
-
D.
Bitchois
Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
-
E.
Big Lug
Big Lug is the costumed mascot character for the Lansing Lugnuts minor league baseball team, known for entertaining fans at games and community events.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3affd748190a37e3cc60e58d6a6 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4 p.m.