Triple
T5056897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George S. Kaufman |
E113923
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Of Thee I Sing
Of Thee I Sing is a Pulitzer Prize–winning satirical musical comedy that lampoons American politics and elections.
|
E490508
|
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: Of Thee I Sing | Statement: [George S. Kaufman, notableWork, Of Thee I Sing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Of Thee I Sing Context triple: [George S. Kaufman, notableWork, Of Thee I Sing]
-
A.
With a Smile and a Song
"With a Smile and a Song" is a cheerful, optimistic musical number sung by Snow White in Disney’s classic animated film Snow White and the Seven Dwarfs.
-
B.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
C.
Sing for Me
"Sing for Me" is a pop ballad by Christina Aguilera featured on her 2012 studio album *Lotus*.
-
D.
The Singing Fool
The Singing Fool is a 1928 American musical drama film starring Al Jolson, notable as an early sound feature that helped solidify his status as one of the era’s biggest stars.
-
E.
Our Very Own
"Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
- 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: Of Thee I Sing Triple: [George S. Kaufman, notableWork, Of Thee I Sing]
Generated description
Of Thee I Sing is a Pulitzer Prize–winning satirical musical comedy that lampoons American politics and elections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Of Thee I Sing Target entity description: Of Thee I Sing is a Pulitzer Prize–winning satirical musical comedy that lampoons American politics and elections.
-
A.
With a Smile and a Song
"With a Smile and a Song" is a cheerful, optimistic musical number sung by Snow White in Disney’s classic animated film Snow White and the Seven Dwarfs.
-
B.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
C.
Sing for Me
"Sing for Me" is a pop ballad by Christina Aguilera featured on her 2012 studio album *Lotus*.
-
D.
The Singing Fool
The Singing Fool is a 1928 American musical drama film starring Al Jolson, notable as an early sound feature that helped solidify his status as one of the era’s biggest stars.
-
E.
Our Very Own
"Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7450312881908d4e3576ca65f7fb |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea48cc7b88190a9ea43f79b0a0cf0 |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea654fa8881908a50be410d4ea7d5 |
completed | March 21, 2026, 2:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea6ad303481909c41af9a4e002e0b |
completed | March 21, 2026, 2:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.