Triple
T9944387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangalee |
E194165
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fall in Love
"Fall in Love" is a notable creative work by Bangalee, likely recognized as one of the artist's prominent releases.
|
E830356
|
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: Fall in Love | Statement: [Bangalee, notableWork, Fall in Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fall in Love Context triple: [Bangalee, notableWork, Fall in Love]
-
A.
Fall in Love
"Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
-
B.
Falling in Love with Love
"Falling in Love with Love" is a popular show tune by composer Richard Rodgers and lyricist Lorenz Hart, introduced in the 1938 musical "The Boys from Syracuse."
-
C.
Falling In and Out of Love
"Falling In and Out of Love" is a country rock song by Pure Prairie League, best known as the introductory section that leads into their hit "Amie."
-
D.
Falling in Love Again
"Falling in Love Again" is a classic cabaret-style song closely associated with Marlene Dietrich, famously performed in the 1930 film "The Blue Angel."
-
E.
Fell for You
"Fell for You" is a pop-punk song by Green Day from their 2012 album ¡Uno!.
- 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: Fall in Love Triple: [Bangalee, notableWork, Fall in Love]
Generated description
"Fall in Love" is a notable creative work by Bangalee, likely recognized as one of the artist's prominent releases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fall in Love Target entity description: "Fall in Love" is a notable creative work by Bangalee, likely recognized as one of the artist's prominent releases.
-
A.
Fall in Love
"Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
-
B.
Falling in Love with Love
"Falling in Love with Love" is a popular show tune by composer Richard Rodgers and lyricist Lorenz Hart, introduced in the 1938 musical "The Boys from Syracuse."
-
C.
Falling In and Out of Love
"Falling In and Out of Love" is a country rock song by Pure Prairie League, best known as the introductory section that leads into their hit "Amie."
-
D.
Falling in Love Again
"Falling in Love Again" is a classic cabaret-style song closely associated with Marlene Dietrich, famously performed in the 1930 film "The Blue Angel."
-
E.
Fell for You
"Fell for You" is a pop-punk song by Green Day from their 2012 album ¡Uno!.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb613fbb48190b82a06987310cc96 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2291a22f88190acf055a7410c1808 |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d229f496c48190bf3bca109b3bc62b |
completed | April 5, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a8494f481909bd6b4936b32679e |
completed | April 5, 2026, 9:25 a.m. |
Created at: March 30, 2026, 8:45 p.m.