Triple
T16153943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morrie Ryskind |
E391985
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Of Thee I Sing |
E490508
|
NE FINISHED |
How this triple was built (2 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: [Morrie Ryskind, 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: [Morrie Ryskind, notableWork, Of Thee I Sing]
-
A.
Of Thee I Sing
chosen
Of Thee I Sing is a Pulitzer Prize–winning satirical musical comedy that lampoons American politics and elections.
-
B.
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.
-
C.
Sing a Song for Them
"Sing a Song for Them" is a track by singer-songwriter Jenny Lewis from her solo album "Acid Tongue," blending introspective lyrics with a soulful, folk-rock sound.
-
D.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
-
E.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7ac6d1c8190a8553ceb5ec06119 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.