Triple
T15963187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "It's All Right with Me" |
E387112
|
entity |
| Predicate | originalPerformer |
P11499
|
FINISHED |
| Object |
Lilo
Lilo is a French singer known for her interpretation of classic songs, including the standard "It's All Right with Me."
|
E1187073
|
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: Lilo | Statement: ["It's All Right with Me", originalPerformer, Lilo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilo Context triple: ["It's All Right with Me", originalPerformer, Lilo]
-
A.
Lilo Pelekai
Lilo Pelekai is a young Hawaiian girl from Disney's "Lilo & Stitch," known for her quirky personality, love of Elvis Presley, and close bond with her alien "dog" Stitch.
-
B.
Lilo Baur
Lilo Baur is a Swiss actress and theatre director known for her work in European film, television, and stage productions.
-
C.
Aulani
Aulani is a Disney-operated Hawaiian resort and spa that blends family-friendly entertainment with local Hawaiian culture and storytelling.
-
D.
Lolei
Lolei is an ancient temple in Cambodia’s Angkor region, known as one of the Roluos Group of early Khmer brick towers built during the late 9th century.
-
E.
Lili
Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
- 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: Lilo Triple: ["It's All Right with Me", originalPerformer, Lilo]
Generated description
Lilo is a French singer known for her interpretation of classic songs, including the standard "It's All Right with Me."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lilo Target entity description: Lilo is a French singer known for her interpretation of classic songs, including the standard "It's All Right with Me."
-
A.
Lilo Pelekai
Lilo Pelekai is a young Hawaiian girl from Disney's "Lilo & Stitch," known for her quirky personality, love of Elvis Presley, and close bond with her alien "dog" Stitch.
-
B.
Lilo Baur
Lilo Baur is a Swiss actress and theatre director known for her work in European film, television, and stage productions.
-
C.
Aulani
Aulani is a Disney-operated Hawaiian resort and spa that blends family-friendly entertainment with local Hawaiian culture and storytelling.
-
D.
Lolei
Lolei is an ancient temple in Cambodia’s Angkor region, known as one of the Roluos Group of early Khmer brick towers built during the late 9th century.
-
E.
Lili
Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157013cfc819099fa83de85273710 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe84f4888190b3fdb5f32763f78d |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbfcbe93c819097df2c4da159b352 |
completed | May 9, 2026, 11:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc09df25481908674f306b0f96f95 |
completed | May 9, 2026, 11:17 p.m. |
Created at: April 10, 2026, 4:53 a.m.