Triple
T23074068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh, Kay! |
E575276
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object |
Dear Little Girl
"Dear Little Girl" is a song from the 1926 Broadway musical comedy *Oh, Kay!*, with music by George Gershwin and lyrics by Ira Gershwin.
|
E1569080
|
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: Dear Little Girl | Statement: [Oh, Kay!, hasSong, Dear Little Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Little Girl Context triple: [Oh, Kay!, hasSong, Dear Little Girl]
-
A.
This Little Girl
"This Little Girl" is an emotional solo song from the stage musical *Matilda the Musical*, sung by the character Miss Honey as she reflects on Matilda’s difficult life and her own resolve to protect her.
-
B.
My Little Girl
"My Little Girl" is a song featured on the album "To the Sea" by singer-songwriter Jack Johnson.
-
C.
Strange Little Girl
"Strange Little Girl" is a 1982 song by the English rock band The Stranglers, known for its haunting melody and introspective lyrics.
-
D.
The Little Girl
The Little Girl is a film featuring child actress Erin Gerasimovich in a prominent role.
-
E.
The Little Girls
The Little Girls is a 1964 novel by Elizabeth Bowen that explores memory, aging, and the lingering impact of childhood through the reunion of three former schoolfriends.
- 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: Dear Little Girl Triple: [Oh, Kay!, hasSong, Dear Little Girl]
Generated description
"Dear Little Girl" is a song from the 1926 Broadway musical comedy *Oh, Kay!*, with music by George Gershwin and lyrics by Ira Gershwin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dear Little Girl Target entity description: "Dear Little Girl" is a song from the 1926 Broadway musical comedy *Oh, Kay!*, with music by George Gershwin and lyrics by Ira Gershwin.
-
A.
This Little Girl
"This Little Girl" is an emotional solo song from the stage musical *Matilda the Musical*, sung by the character Miss Honey as she reflects on Matilda’s difficult life and her own resolve to protect her.
-
B.
My Little Girl
"My Little Girl" is a song featured on the album "To the Sea" by singer-songwriter Jack Johnson.
-
C.
Strange Little Girl
"Strange Little Girl" is a 1982 song by the English rock band The Stranglers, known for its haunting melody and introspective lyrics.
-
D.
The Little Girl
The Little Girl is a film featuring child actress Erin Gerasimovich in a prominent role.
-
E.
The Little Girls
The Little Girls is a 1964 novel by Elizabeth Bowen that explores memory, aging, and the lingering impact of childhood through the reunion of three former schoolfriends.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c61bb7c8190a3d9b1fba173cdff |
completed | April 29, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15aaf74881909d2cd5f3d730f1b4 |
completed | May 19, 2026, 7:47 a.m. |
| NEDg | Description generation | batch_6a0c15f186208190889e0766ddf03343 |
completed | May 19, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c165b716c8190b1c1e1683fe897db |
completed | May 19, 2026, 7:50 a.m. |
Created at: April 17, 2026, 3:56 p.m.