Triple
T6738710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Coasters |
E154022
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Little Darling
"Little Darling" is a popular doo-wop song best known from the 1950s rock and roll era, associated with vocal harmony groups like The Coasters.
|
E615101
|
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: Little Darling | Statement: [The Coasters, notableWork, Little Darling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Darling Context triple: [The Coasters, notableWork, Little Darling]
-
A.
Listen, Darling
Listen, Darling is a 1938 American musical comedy film best known for featuring a young Judy Garland in an early starring role.
-
B.
Darling
Darling is a 1965 British drama film directed by John Schlesinger, known for its incisive portrayal of a young woman's rise in London's high society and for winning multiple Academy Awards.
-
C.
Darling
Darling is the kind, affectionate human owner of Lady in Disney's animated film "Lady and the Tramp."
-
D.
Dear Darlin’
"Dear Darlin’" is a pop ballad by English singer Olly Murs, known for its emotional lyrics about heartbreak and regret.
-
E.
Li’l Darlin’
Li’l Darlin’ is a classic slow-swing jazz standard composed by Neal Hefti and made famous by the Count Basie Orchestra.
- 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: Little Darling Triple: [The Coasters, notableWork, Little Darling]
Generated description
"Little Darling" is a popular doo-wop song best known from the 1950s rock and roll era, associated with vocal harmony groups like The Coasters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Darling Target entity description: "Little Darling" is a popular doo-wop song best known from the 1950s rock and roll era, associated with vocal harmony groups like The Coasters.
-
A.
Listen, Darling
Listen, Darling is a 1938 American musical comedy film best known for featuring a young Judy Garland in an early starring role.
-
B.
Darling
Darling is the kind, affectionate human owner of Lady in Disney's animated film "Lady and the Tramp."
-
C.
Darling
Darling is a 1965 British drama film directed by John Schlesinger, known for its incisive portrayal of a young woman's rise in London's high society and for winning multiple Academy Awards.
-
D.
Dear Darlin’
"Dear Darlin’" is a pop ballad by English singer Olly Murs, known for its emotional lyrics about heartbreak and regret.
-
E.
Li’l Darlin’
Li’l Darlin’ is a classic slow-swing jazz standard composed by Neal Hefti and made famous by the Count Basie Orchestra.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1866dbc81909483fbd5ed6a3ec8 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0b97248190bf6bac160fe3d45b |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70bb0714c819094e80a2dfc960c99 |
completed | March 27, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c51e0148190be64afb56690b34f |
completed | March 27, 2026, 11:01 p.m. |
Created at: March 27, 2026, 2:10 p.m.