Triple
T7830173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful World |
E181345
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
I'd Wait for Life
"I'd Wait for Life" is a song by the English pop band Take That from their 2006 comeback album "Beautiful World."
|
E699203
|
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: I'd Wait for Life | Statement: [Beautiful World, hasPart, I'd Wait for Life]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'd Wait for Life Context triple: [Beautiful World, hasPart, I'd Wait for Life]
-
A.
I Will Wait
"I Will Wait" is the English title of the classic French song "J’attendrai," a popular wartime ballad known for its themes of longing and devotion.
-
B.
Willing to Wait
"Willing to Wait" is a romantic R&B ballad by Rihanna from her debut studio album, *Music of the Sun*.
-
C.
Just Wait
"Just Wait" is a song by the American rock band Surfer Blood, known for their melodic indie rock sound.
-
D.
Waiting on the Day
"Waiting on the Day" is a reflective, acoustic-driven love song by John Mayer from his 2013 album "Paradise Valley."
-
E.
The Waiting
"The Waiting" is a popular rock song by Tom Petty and the Heartbreakers, known for its jangly guitars and reflective lyrics about anticipation and patience.
- 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: I'd Wait for Life Triple: [Beautiful World, hasPart, I'd Wait for Life]
Generated description
"I'd Wait for Life" is a song by the English pop band Take That from their 2006 comeback album "Beautiful World."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I'd Wait for Life Target entity description: "I'd Wait for Life" is a song by the English pop band Take That from their 2006 comeback album "Beautiful World."
-
A.
I Will Wait
"I Will Wait" is the English title of the classic French song "J’attendrai," a popular wartime ballad known for its themes of longing and devotion.
-
B.
Willing to Wait
"Willing to Wait" is a romantic R&B ballad by Rihanna from her debut studio album, *Music of the Sun*.
-
C.
Just Wait
"Just Wait" is a song by the American rock band Surfer Blood, known for their melodic indie rock sound.
-
D.
Waiting on the Day
"Waiting on the Day" is a reflective, acoustic-driven love song by John Mayer from his 2013 album "Paradise Valley."
-
E.
The Waiting
"The Waiting" is a popular rock song by Tom Petty and the Heartbreakers, known for its jangly guitars and reflective lyrics about anticipation and patience.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04ac013c81909533fa348776f50c |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a854fac8190802599615a0f7bc4 |
completed | March 31, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69cb762ce6208190a24438e26ae83785 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb615dc248190b57b4fc7c430517f |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 4:44 p.m.