Triple
T5227201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leave It to Me! |
E118018
|
entity |
| Predicate | hasMusicNumber |
P20452
|
FINISHED |
| Object |
Tomorrow
"Tomorrow" is a musical number featured in the production "Leave It to Me!"
|
E502663
|
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: Tomorrow | Statement: [Leave It to Me!, hasMusicNumber, Tomorrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomorrow Context triple: [Leave It to Me!, hasMusicNumber, Tomorrow]
-
A.
Tomorrow
"Tomorrow" is a song by John Legend from his R&B album *Love in the Future*.
-
B.
Tomorrow
"Tomorrow" is an immersive, large-scale installation by the artist duo Elmgreen & Dragset that stages a fictional domestic environment to explore themes of identity, class, and social performance.
-
C.
Come Tomorrow
Come Tomorrow is a 2018 studio album by American rock group Dave Matthews Band, known for its blend of rock, jazz, and folk influences and for debuting at number one on the Billboard 200.
-
D.
Yesterday, Today and Tomorrow
"Yesterday, Today and Tomorrow" is a 1963 Italian anthology comedy film directed by Vittorio De Sica, best known for starring Sophia Loren and Marcello Mastroianni in three interlinked stories.
-
E.
When Tomorrow Comes
"When Tomorrow Comes" is a 1939 romantic drama film starring Irene Dunne and Charles Boyer, directed by John M. Stahl and noted for its blend of romance and social commentary.
- 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: Tomorrow Triple: [Leave It to Me!, hasMusicNumber, Tomorrow]
Generated description
"Tomorrow" is a musical number featured in the production "Leave It to Me!"
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomorrow Target entity description: "Tomorrow" is a musical number featured in the production "Leave It to Me!"
-
A.
Tomorrow
"Tomorrow" is a song by John Legend from his R&B album *Love in the Future*.
-
B.
Tomorrow
"Tomorrow" is an immersive, large-scale installation by the artist duo Elmgreen & Dragset that stages a fictional domestic environment to explore themes of identity, class, and social performance.
-
C.
Come Tomorrow
Come Tomorrow is a 2018 studio album by American rock group Dave Matthews Band, known for its blend of rock, jazz, and folk influences and for debuting at number one on the Billboard 200.
-
D.
Yesterday, Today and Tomorrow
"Yesterday, Today and Tomorrow" is a 1963 Italian anthology comedy film directed by Vittorio De Sica, best known for starring Sophia Loren and Marcello Mastroianni in three interlinked stories.
-
E.
When Tomorrow Comes
"When Tomorrow Comes" is a 1939 romantic drama film starring Irene Dunne and Charles Boyer, directed by John M. Stahl and noted for its blend of romance and social commentary.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd847049648190ab24693e92f0dad1 |
completed | March 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeffea8f481909c86c932781c4e2a |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef097f5e48190b8a28995f345c764 |
completed | March 21, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef0f0ceb081908600d75b6e52f45a |
completed | March 21, 2026, 7:26 p.m. |
Created at: March 20, 2026, 1:48 p.m.