Triple
T11548535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Euro 1988 |
E273831
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Bernie
Bernie was the official cartoon rabbit mascot created to represent and promote the UEFA Euro 1988 football tournament in West Germany.
|
E932205
|
NE FINISHED |
How this triple was built (4 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: Bernie | Statement: [UEFA Euro 1988, mascot, Bernie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernie Context triple: [UEFA Euro 1988, mascot, Bernie]
-
A.
Bernie
Bernie is a common diminutive form of the given name Bernard, often used as a familiar or informal nickname.
-
B.
Weiner
Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
-
C.
Bernie Sanders
Bernie Sanders is a longtime U.S. senator from Vermont and prominent progressive politician known for championing democratic socialism, economic equality, and universal healthcare.
-
D.
Bernie Lumen
Bernie Lumen is a character from Pixar's film "Elemental," depicted as Ember Lumen's caring and traditional fire-element father who runs a family shop in Firetown.
-
E.
Bernie Dodd
Bernie Dodd is a driven Broadway director in the film "The Country Girl," whose demanding methods and personal struggles shape the story’s central drama.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bernie Triple: [UEFA Euro 1988, mascot, Bernie]
Generated description
Bernie was the official cartoon rabbit mascot created to represent and promote the UEFA Euro 1988 football tournament in West Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bernie Target entity description: Bernie was the official cartoon rabbit mascot created to represent and promote the UEFA Euro 1988 football tournament in West Germany.
-
A.
Bernie
Bernie is a common diminutive form of the given name Bernard, often used as a familiar or informal nickname.
-
B.
Weiner
Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
-
C.
Bernie Sanders
Bernie Sanders is a longtime U.S. senator from Vermont and prominent progressive politician known for championing democratic socialism, economic equality, and universal healthcare.
-
D.
Bernie Lumen
Bernie Lumen is a character from Pixar's film "Elemental," depicted as Ember Lumen's caring and traditional fire-element father who runs a family shop in Firetown.
-
E.
Bernie Dodd
Bernie Dodd is a driven Broadway director in the film "The Country Girl," whose demanding methods and personal struggles shape the story’s central drama.
- F. None of above. chosen
Provenance (5 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e615b08190a072924329a94a6a |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685e7e6488190a3704e2028df5add |
completed | April 20, 2026, 8 p.m. |
| NEDg | Description generation | batch_69e68fdacb688190aa52e02bf1816a75 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6b7d683448190b7557bffd92b3ad6 |
completed | April 20, 2026, 11:33 p.m. |
Created at: April 8, 2026, 9:37 p.m.