Triple
T5783439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin Recording Academy |
E128214
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
LARAS
LARAS is the acronym for the Latin Recording Academy, the organization best known for presenting the Latin Grammy Awards and promoting Latin music and its creators worldwide.
|
E546828
|
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: LARAS | Statement: [Latin Recording Academy, alsoKnownAs, LARAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LARAS Context triple: [Latin Recording Academy, alsoKnownAs, LARAS]
-
A.
Lari
Lari is a regional dialect of the Sindhi language spoken primarily in parts of Sindh, Pakistan.
-
B.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
-
C.
Iya Labunka
Iya Labunka is a film producer known for her work on genre films, including serving as a producer on the horror sequel "Scream 4."
-
D.
Lala
Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
-
E.
Lakon
Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
- 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: LARAS Triple: [Latin Recording Academy, alsoKnownAs, LARAS]
Generated description
LARAS is the acronym for the Latin Recording Academy, the organization best known for presenting the Latin Grammy Awards and promoting Latin music and its creators worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LARAS Target entity description: LARAS is the acronym for the Latin Recording Academy, the organization best known for presenting the Latin Grammy Awards and promoting Latin music and its creators worldwide.
-
A.
Lari
Lari is a regional dialect of the Sindhi language spoken primarily in parts of Sindh, Pakistan.
-
B.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
-
C.
Iya Labunka
Iya Labunka is a film producer known for her work on genre films, including serving as a producer on the horror sequel "Scream 4."
-
D.
Lala
Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
-
E.
Lakon
Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a184870819084251554eae1e33c |
completed | March 22, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098112a1c8190a8aacb208c544959 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098f32f7081908d9306afc30147a1 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0996fb9148190ae8c09f4816d00b8 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:50 p.m.