Triple
T20488385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leave It to Me! |
E502670
|
entity |
| Predicate | song |
P20452
|
FINISHED |
| Object |
Tomorrow
"Tomorrow" is a song from the album *Leave It to Me!* by the American punk rock band The Donnas.
|
E1433992
|
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!, song, Tomorrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomorrow Context triple: [Leave It to Me!, song, 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.
Tomorrow
"Tomorrow" is a song by Mika (Michael Holbrook Penniman Jr.) from his album *My Name Is Michael Holbrook*, blending upbeat pop melodies with introspective lyrics about hope and uncertainty.
-
D.
Tomorrow
"Tomorrow" is a song from the musical *Come Home with Me*, likely serving as one of its notable musical numbers.
-
E.
Tomorrow
"Tomorrow" is a short story featured in William Faulkner’s collection *Knight’s Gambit*, reflecting his characteristic Southern Gothic style and complex psychological themes.
- 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!, song, Tomorrow]
Generated description
"Tomorrow" is a song from the album *Leave It to Me!* by the American punk rock band The Donnas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomorrow Target entity description: "Tomorrow" is a song from the album *Leave It to Me!* by the American punk rock band The Donnas.
-
A.
Tomorrow
"Tomorrow" is a song featured on the album "Let Go," known for its emotive tone and reflective lyrics.
-
B.
Tomorrow
"Tomorrow" is a song by John Legend from his R&B album *Love in the Future*.
-
C.
Tomorrow
"Tomorrow" is a song featured on the album "Wild Life" by Paul McCartney and Wings.
-
D.
Tomorrow
"Tomorrow" is a 2012 alternative rock single by Irish band The Cranberries, known for its melodic sound and reflective lyrics, released from their album "Roses."
-
E.
Tomorrow
"Tomorrow" is a song by Mika (Michael Holbrook Penniman Jr.) from his album *My Name Is Michael Holbrook*, blending upbeat pop melodies with introspective lyrics about hope and uncertainty.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5c6f84819087d813be3542ed33 |
completed | April 20, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893b3c77c81908aedd753ec251577 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08953618088190a9336d0ab6445c9d |
completed | May 16, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0895c4a0a48190ba43d065c9766fd8 |
completed | May 16, 2026, 4:05 p.m. |
Created at: April 16, 2026, 11:34 a.m.