Triple
T6051856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sing 2 |
E134812
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Meena is an elephant singer
Meena is a shy yet talented young elephant who discovers her powerful singing voice in the animated film "Sing 2."
|
E563077
|
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: Meena is an elephant singer | Statement: [Sing 2, featuresCharacter, Meena is an elephant singer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meena is an elephant singer Context triple: [Sing 2, featuresCharacter, Meena is an elephant singer]
-
A.
Ela
Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
-
B.
Nene
Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
-
C.
Elea
Elea was an ancient Greek city in southern Italy, best known as the home of the Eleatic school of philosophy associated with Parmenides.
-
D.
Ménaka
Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
-
E.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
- 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: Meena is an elephant singer Triple: [Sing 2, featuresCharacter, Meena is an elephant singer]
Generated description
Meena is a shy yet talented young elephant who discovers her powerful singing voice in the animated film "Sing 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meena is an elephant singer Target entity description: Meena is a shy yet talented young elephant who discovers her powerful singing voice in the animated film "Sing 2."
-
A.
Ela
Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
-
B.
Nene
Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
-
C.
Elea
Elea was an ancient Greek city in southern Italy, best known as the home of the Eleatic school of philosophy associated with Parmenides.
-
D.
Ménaka
Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
-
E.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f802988190aafdb7cbb087c828 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a911548190b4269d094f65308d |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c11423d05c81909298ae598c80ccb0 |
completed | March 23, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1149a6a248190bc3234ae8d068645 |
completed | March 23, 2026, 10:23 a.m. |
Created at: March 22, 2026, 4:09 p.m.