Triple
T22913470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aim and Ignite |
E568663
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Be Calm
"Be Calm" is a track from Fun.'s debut studio album "Aim and Ignite," showcasing the band's theatrical indie pop style and emotive songwriting.
|
E1560931
|
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: Be Calm | Statement: [Aim and Ignite, hasPart, Be Calm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Be Calm Context triple: [Aim and Ignite, hasPart, Be Calm]
-
A.
Calm Down
"Calm Down" is a globally popular Afrobeats song by Nigerian singer Rema, known for its catchy melody and successful remix featuring Selena Gomez.
-
B.
Calm Down
"Calm Down" is a hip-hop track by American rapper G-Eazy known for its braggadocious lyrics and energetic, minimalist production.
-
C.
Calm Air
Calm Air is a Canadian regional airline based in Manitoba that primarily serves remote communities in northern Manitoba and Nunavut.
-
D.
You Need to Calm Down
"You Need to Calm Down" is a colorful, pro-LGBTQ+ pop anthem by Taylor Swift that critiques online hate and social intolerance.
-
E.
Kindly Calm Me Down
"Kindly Calm Me Down" is a song featured on the album "Thank You," known for its soothing, emotionally expressive style.
- 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: Be Calm Triple: [Aim and Ignite, hasPart, Be Calm]
Generated description
"Be Calm" is a track from Fun.'s debut studio album "Aim and Ignite," showcasing the band's theatrical indie pop style and emotive songwriting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Be Calm Target entity description: "Be Calm" is a track from Fun.'s debut studio album "Aim and Ignite," showcasing the band's theatrical indie pop style and emotive songwriting.
-
A.
Calm Down
"Calm Down" is a globally popular Afrobeats song by Nigerian singer Rema, known for its catchy melody and successful remix featuring Selena Gomez.
-
B.
Calm Down
"Calm Down" is a hip-hop track by American rapper G-Eazy known for its braggadocious lyrics and energetic, minimalist production.
-
C.
Calm Air
Calm Air is a Canadian regional airline based in Manitoba that primarily serves remote communities in northern Manitoba and Nunavut.
-
D.
You Need to Calm Down
"You Need to Calm Down" is a colorful, pro-LGBTQ+ pop anthem by Taylor Swift that critiques online hate and social intolerance.
-
E.
Kindly Calm Me Down
"Kindly Calm Me Down" is a song featured on the album "Thank You," known for its soothing, emotionally expressive style.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807668c481908494769bab9c8f1d |
completed | April 29, 2026, 3:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9d345e88190a04f7afa7b14ab41 |
completed | May 19, 2026, 1:16 a.m. |
| NEDg | Description generation | batch_6a0bba89d5d88190b3268c5f16273a56 |
completed | May 19, 2026, 1:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbaefea888190bed91a067d771438 |
completed | May 19, 2026, 1:20 a.m. |
Created at: April 17, 2026, 3:42 p.m.