Triple
T21562566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zara Larsson |
E532073
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Love Me Land
"Love Me Land" is a 2020 dance-pop single by Swedish singer Zara Larsson, known for its dramatic production and confident, self-empowering lyrics.
|
E1490989
|
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: Love Me Land | Statement: [Zara Larsson, notableWork, Love Me Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Me Land Context triple: [Zara Larsson, notableWork, Love Me Land]
-
A.
This Land
"This Land" is an instrumental orchestral piece composed by Hans Zimmer for Disney's 1994 animated film The Lion King, known for its emotional, sweeping themes.
-
B.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
-
C.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
D.
Our Song
"Our Song" is a track by the American rock band Therapy? known for their alternative metal and punk-influenced sound.
-
E.
Another Song
"Another Song" is a musical track featured on the release titled "Gold Record."
- 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: Love Me Land Triple: [Zara Larsson, notableWork, Love Me Land]
Generated description
"Love Me Land" is a 2020 dance-pop single by Swedish singer Zara Larsson, known for its dramatic production and confident, self-empowering lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Me Land Target entity description: "Love Me Land" is a 2020 dance-pop single by Swedish singer Zara Larsson, known for its dramatic production and confident, self-empowering lyrics.
-
A.
This Land
"This Land" is an instrumental orchestral piece composed by Hans Zimmer for Disney's 1994 animated film The Lion King, known for its emotional, sweeping themes.
-
B.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
-
C.
Our Song
"Our Song" is a track by the American rock band Therapy? known for their alternative metal and punk-influenced sound.
-
D.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
E.
Another Song
"Another Song" is a musical track featured on the release titled "Gold Record."
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e5c3348190b67003e7027efa60 |
completed | April 27, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eeeb5c6081908267b5825acddad5 |
completed | May 17, 2026, 4:38 p.m. |
| NEDg | Description generation | batch_6a09f3334a088190b16c3715c786f4e2 |
completed | May 17, 2026, 4:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f40c04a48190b60c80f44759b295 |
completed | May 17, 2026, 4:59 p.m. |
Created at: April 16, 2026, 6:29 p.m.