Triple
T7424035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If/Then |
E171322
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object |
What If?
"What If?" is a song by the American rock band Creed, known for its heavy guitar riffs and introspective lyrics.
|
E663230
|
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: What If? | Statement: [If/Then, featuresSong, What If?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What If? Context triple: [If/Then, featuresSong, What If?]
-
A.
What If We Never
"What If We Never" is a song featured on the album "Some Lessons Learned."
-
B.
What If...? (TV series)
What If...? is a Marvel Studios animated anthology series that explores alternate timelines and reimagined scenarios within the Marvel Cinematic Universe.
-
C.
The What
"The What" is a track from The Notorious B.I.G.'s landmark debut album "Ready to Die," featuring a guest verse from Method Man.
-
D.
The Burning Question
The Burning Question is a book by carbon footprint expert Mike Berners-Lee that explores the climate implications of burning the world’s remaining fossil fuel reserves and argues for urgent systemic change to limit global warming.
-
E.
Coulda Woulda Shoulda
"Coulda Woulda Shoulda" is a song featured on the album "One Heart," best known as part of Celine Dion’s early-2000s pop repertoire.
- 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: What If? Triple: [If/Then, featuresSong, What If?]
Generated description
"What If?" is a song by the American rock band Creed, known for its heavy guitar riffs and introspective lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: What If? Target entity description: "What If?" is a song by the American rock band Creed, known for its heavy guitar riffs and introspective lyrics.
-
A.
What If We Never
"What If We Never" is a song featured on the album "Some Lessons Learned."
-
B.
What If...? (TV series)
What If...? is a Marvel Studios animated anthology series that explores alternate timelines and reimagined scenarios within the Marvel Cinematic Universe.
-
C.
The What
"The What" is a track from The Notorious B.I.G.'s landmark debut album "Ready to Die," featuring a guest verse from Method Man.
-
D.
The Burning Question
The Burning Question is a book by carbon footprint expert Mike Berners-Lee that explores the climate implications of burning the world’s remaining fossil fuel reserves and argues for urgent systemic change to limit global warming.
-
E.
Coulda Woulda Shoulda
"Coulda Woulda Shoulda" is a song featured on the album "One Heart," best known as part of Celine Dion’s early-2000s pop repertoire.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2eece588190905774e7151edcb8 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f048e0c819080f51784e1099cac |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81fd379cc81908b52c45fddea9870 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8209b7fa48190aea45a6b21ad8de1 |
completed | March 28, 2026, 6:40 p.m. |
Created at: March 27, 2026, 3:12 p.m.