Triple
T14553468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowborn |
E341477
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Losing It All
"Losing It All" is a song by the American metalcore band Lowborn.
|
E1109624
|
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: Losing It All | Statement: [Lowborn, hasTrack, Losing It All]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Losing It All Context triple: [Lowborn, hasTrack, Losing It All]
-
A.
Nothing to Lose
"Nothing to Lose" is a song featured on the punk rock album "Run for Cover."
-
B.
Nothing to Lose
Nothing to Lose is a 1997 American buddy comedy film starring Tim Robbins and Martin Lawrence, written and directed by Steve Oedekerk.
-
C.
Nothing to Lose
Nothing to Lose is a thriller novel by Lee Child featuring his iconic drifter hero Jack Reacher as he investigates a sinister conspiracy in two neighboring Colorado towns.
-
D.
You Lost Me
"You Lost Me" is a soulful pop ballad by Christina Aguilera from her 2010 album *Bionic*, noted for its emotional vocals and themes of heartbreak and betrayal.
-
E.
There Is Nothing Left to Lose
"There Is Nothing Left to Lose" is the Foo Fighters' third studio album, noted for its more melodic, introspective sound and featuring the hit single "Learn to Fly."
- 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: Losing It All Triple: [Lowborn, hasTrack, Losing It All]
Generated description
"Losing It All" is a song by the American metalcore band Lowborn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Losing It All Target entity description: "Losing It All" is a song by the American metalcore band Lowborn.
-
A.
Nothing to Lose
Nothing to Lose is a thriller novel by Lee Child featuring his iconic drifter hero Jack Reacher as he investigates a sinister conspiracy in two neighboring Colorado towns.
-
B.
Nothing to Lose
"Nothing to Lose" is a song featured on the punk rock album "Run for Cover."
-
C.
Nothing to Lose
Nothing to Lose is a 1997 American buddy comedy film starring Tim Robbins and Martin Lawrence, written and directed by Steve Oedekerk.
-
D.
You Lost Me
"You Lost Me" is a soulful pop ballad by Christina Aguilera from her 2010 album *Bionic*, noted for its emotional vocals and themes of heartbreak and betrayal.
-
E.
There Is Nothing Left to Lose
"There Is Nothing Left to Lose" is the Foo Fighters' third studio album, noted for its more melodic, introspective sound and featuring the hit single "Learn to Fly."
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9124af481908f43e3b541568e26 |
completed | May 8, 2026, 9:12 a.m. |
| NEDg | Description generation | batch_69fdb3111f488190ba93e52f0e7fdb95 |
completed | May 8, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb37acc548190ac2a9afbe332ba9c |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 10, 2026, 1:23 a.m.