Triple
T3204534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unbreakable |
E67128
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Broken Hearts Heal
"Broken Hearts Heal" is a song by Michael Jackson from his posthumous compilation album "Xscape."
|
E335226
|
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: Broken Hearts Heal | Statement: [Unbreakable, hasTrack, Broken Hearts Heal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broken Hearts Heal Context triple: [Unbreakable, hasTrack, Broken Hearts Heal]
-
A.
Some Hearts
Some Hearts is the multi-platinum country-pop debut album by American singer Carrie Underwood, featuring hits like "Jesus, Take the Wheel" and "Before He Cheats."
-
B.
Two Hearts
Two Hearts is a song by Bruce Springsteen that appears on his 1980 album "The River."
-
C.
Welcome to Heartbreak
"Welcome to Heartbreak" is a melancholic, synth-driven track by Kanye West that explores the emotional emptiness and personal cost of fame.
-
D.
Where Do Broken Hearts Go
"Where Do Broken Hearts Go" is a 1988 pop ballad by Whitney Houston that became one of her chart-topping hits, showcasing her powerful vocal range and emotional delivery.
-
E.
Burning Hearts
Burning Hearts is an Italian crime drama film starring Riccardo Scamarcio that explores themes of love, loyalty, and organized crime in Southern Italy.
- 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: Broken Hearts Heal Triple: [Unbreakable, hasTrack, Broken Hearts Heal]
Generated description
"Broken Hearts Heal" is a song by Michael Jackson from his posthumous compilation album "Xscape."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Broken Hearts Heal Target entity description: "Broken Hearts Heal" is a song by Michael Jackson from his posthumous compilation album "Xscape."
-
A.
Some Hearts
Some Hearts is the multi-platinum country-pop debut album by American singer Carrie Underwood, featuring hits like "Jesus, Take the Wheel" and "Before He Cheats."
-
B.
Two Hearts
Two Hearts is a song by Bruce Springsteen that appears on his 1980 album "The River."
-
C.
Welcome to Heartbreak
"Welcome to Heartbreak" is a melancholic, synth-driven track by Kanye West that explores the emotional emptiness and personal cost of fame.
-
D.
Where Do Broken Hearts Go
"Where Do Broken Hearts Go" is a 1988 pop ballad by Whitney Houston that became one of her chart-topping hits, showcasing her powerful vocal range and emotional delivery.
-
E.
Burning Hearts
Burning Hearts is an Italian crime drama film starring Riccardo Scamarcio that explores themes of love, loyalty, and organized crime in Southern Italy.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa54124c8190a22089ce2eaedab5 |
completed | March 8, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bcbb0e88190b4413c4ba3de0eeb |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b24ca05434819080ee515b1e7bdcb4 |
completed | March 12, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24d19250c81908a9c3ac95b83a473 |
completed | March 12, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:07 p.m.