Triple
T3336669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 World Aquatics Championships |
E70154
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Lali
Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
|
E349662
|
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: Lali | Statement: [2017 World Aquatics Championships, mascot, Lali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lali Context triple: [2017 World Aquatics Championships, mascot, Lali]
-
A.
Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
-
B.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
-
C.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
D.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
E.
Anitta
Anitta is a Brazilian singer, songwriter, and performer known for her influential role in Latin pop and funk carioca and for high-profile international collaborations.
- 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: Lali Triple: [2017 World Aquatics Championships, mascot, Lali]
Generated description
Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lali Target entity description: Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
A.
Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
-
B.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
-
C.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
D.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
E.
Anitta
Anitta is a Brazilian singer, songwriter, and performer known for her influential role in Latin pop and funk carioca and for high-profile international collaborations.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bad97481909359e914d44a1a74 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a8ad1a8819081d7ad2a48e2c5b9 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c393f20819098d5761372d6a980 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3206be2748190874560701dc1ed18 |
completed | March 12, 2026, 8:22 p.m. |
Created at: March 8, 2026, 3:12 p.m.