Triple
T16677585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love, Lies & Therapy |
E405252
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Refuse to Lose
"Refuse to Lose" is a track from the rock band Saliva’s album "Love, Lies & Therapy."
|
E1228088
|
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: Refuse to Lose | Statement: [Love, Lies & Therapy, hasPart, Refuse to Lose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Refuse to Lose Context triple: [Love, Lies & Therapy, hasPart, Refuse to Lose]
-
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.
Lose to Win
"Lose to Win" is an R&B song by American singer Fantasia Barrino that reflects on overcoming hardship and personal struggle in relationships.
-
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: Refuse to Lose Triple: [Love, Lies & Therapy, hasPart, Refuse to Lose]
Generated description
"Refuse to Lose" is a track from the rock band Saliva’s album "Love, Lies & Therapy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Refuse to Lose Target entity description: "Refuse to Lose" is a track from the rock band Saliva’s album "Love, Lies & Therapy."
-
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.
Lose to Win
"Lose to Win" is an R&B song by American singer Fantasia Barrino that reflects on overcoming hardship and personal struggle in relationships.
-
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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3e2ddc8190a59108cdf001dac2 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b600e5c819084795fee911b0716 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008bee78248190b920d780bcbd3032 |
completed | May 10, 2026, 1:45 p.m. |
Created at: April 10, 2026, 5:19 a.m.