Triple
T5727529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ira Gershwin |
E126300
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | They All Laughed |
E224420
|
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: They All Laughed | Statement: [Ira Gershwin, notableWork, They All Laughed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: They All Laughed Context triple: [Ira Gershwin, notableWork, They All Laughed]
-
A.
They All Laughed
They All Laughed is a 1981 romantic comedy film blending screwball humor and bittersweet romance, directed by Peter Bogdanovich and set in New York City.
-
B.
They All Laughed
chosen
"They All Laughed" is a classic popular song by George and Ira Gershwin, known for its witty lyrics and memorable melody, introduced in the 1937 film "Shall We Dance."
-
C.
Who’s Laughing Now
"Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
-
D.
Cry to Laugh
"Cry to Laugh" is a song featured on the album *Heigh Ho* by American singer-songwriter Blake Mills.
-
E.
The Laugh’s on Me
"The Laugh’s on Me" is a humorous book by American publisher and wit Bennett Cerf, featuring his anecdotes, jokes, and reflections from the world of publishing and entertainment.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250c0ca081909340abae204cc226 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a8a1d08819080f071eb22db54d3 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.