Triple
T10007927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Mraz |
E198298
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object |
Lalalalovesongs
Lalalalovesongs is a compilation album by singer-songwriter Jason Mraz featuring a selection of his romantic and love-themed songs.
|
E835139
|
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: Lalalalovesongs | Statement: [Jason Mraz, album, Lalalalovesongs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lalalalovesongs Context triple: [Jason Mraz, album, Lalalalovesongs]
-
A.
The Love Songs
The Love Songs is a musical group known for featuring musician Bill Schneider among its members.
-
B.
Lala
Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
-
C.
Lala
Lala is a small town in the Hailakandi district of the Indian state of Assam.
-
D.
LAL
LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
-
E.
LAL
LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
- 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: Lalalalovesongs Triple: [Jason Mraz, album, Lalalalovesongs]
Generated description
Lalalalovesongs is a compilation album by singer-songwriter Jason Mraz featuring a selection of his romantic and love-themed songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lalalalovesongs Target entity description: Lalalalovesongs is a compilation album by singer-songwriter Jason Mraz featuring a selection of his romantic and love-themed songs.
-
A.
The Love Songs
The Love Songs is a musical group known for featuring musician Bill Schneider among its members.
-
B.
Lala
Lala is a small town in the Hailakandi district of the Indian state of Assam.
-
C.
Lala
Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
-
D.
LAL
LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
-
E.
LAL
LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd187fe481908556ea896c528ea4 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a683c208190a79ebc2e6ec5893c |
completed | April 5, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c10eae88190a972fdb7425fd01a |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:52 p.m.