Triple
T19366509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugarland |
E484416
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Little Miss
"Little Miss" is a country-pop song by the American duo Sugarland, known for its emotional lyrics about personal struggle and resilience.
|
E1372962
|
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 Miss | Statement: [Sugarland, notableWork, Little Miss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Miss Context triple: [Sugarland, notableWork, Little Miss]
-
A.
Little Miss
Little Miss is a fictional character from the "Little Miss" series of children's books by Roger Hargreaves, known for her simple, colorful design and personality-driven stories.
-
B.
Little Miss S
"Little Miss S" is a song by American singer-songwriter Edie Brickell, known for its introspective lyrics and folk-rock style.
-
C.
Little Girl
"Little Girl" is a song featured on the album *Comfort Me*, likely contributing an emotional or introspective tone to the record.
-
D.
Little Me
"Little Me" is a comedic stage musical, with a book by Neil Simon and music by Cy Coleman, in which Martin Short notably starred in a celebrated revival.
-
E.
Little Girls
"Little Girls" is a darkly comedic song from the musical Annie, sung by the villainous Miss Hannigan as she laments having to care for the orphaned girls.
- 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 Miss Triple: [Sugarland, notableWork, Little Miss]
Generated description
"Little Miss" is a country-pop song by the American duo Sugarland, known for its emotional lyrics about personal struggle and resilience.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Miss Target entity description: "Little Miss" is a country-pop song by the American duo Sugarland, known for its emotional lyrics about personal struggle and resilience.
-
A.
Little Miss
Little Miss is a fictional character from the "Little Miss" series of children's books by Roger Hargreaves, known for her simple, colorful design and personality-driven stories.
-
B.
Little Miss S
"Little Miss S" is a song by American singer-songwriter Edie Brickell, known for its introspective lyrics and folk-rock style.
-
C.
Little Girl
"Little Girl" is a song featured on the album *Comfort Me*, likely contributing an emotional or introspective tone to the record.
-
D.
Little Me
"Little Me" is a comedic stage musical, with a book by Neil Simon and music by Cy Coleman, in which Martin Short notably starred in a celebrated revival.
-
E.
Little Girls
"Little Girls" is a darkly comedic song from the musical Annie, sung by the villainous Miss Hannigan as she laments having to care for the orphaned girls.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619ac26d4819095836d737b629cf1 |
completed | April 20, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07241416c48190ae73fef73c24b677 |
completed | May 15, 2026, 1:48 p.m. |
| NEDg | Description generation | batch_6a0725b012048190acd3d1d2fd2fada5 |
completed | May 15, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0726c6a8ac8190af3149f7111ea3ea |
completed | May 15, 2026, 1:59 p.m. |
Created at: April 10, 2026, 1:35 p.m.