Triple
T4273241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papa Roach |
E96986
|
entity |
| Predicate | hasAlbum |
P1995
|
FINISHED |
| Object |
Who Do You Trust?
"Who Do You Trust?" is a studio album by American rock band Papa Roach that showcases their blend of hard rock, alternative, and electronic influences.
|
E426466
|
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: Who Do You Trust? | Statement: [Papa Roach, hasAlbum, Who Do You Trust?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Who Do You Trust? Context triple: [Papa Roach, hasAlbum, Who Do You Trust?]
-
A.
Tokens of Trust
Tokens of Trust is a theological book by Rowan Williams that offers an accessible exploration of the core beliefs and affirmations of the Christian faith.
-
B.
Trust Me
Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
-
C.
Trust Me
"Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
-
D.
Trust
Trust is the debut studio album by the American indie rock band Low, noted for its slow tempos, sparse arrangements, and minimalist, melancholic sound.
-
E.
Trust
"Trust" is a popular drill track by Brooklyn rapper Fivio Foreign that helped raise his profile in the New York drill scene.
- 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: Who Do You Trust? Triple: [Papa Roach, hasAlbum, Who Do You Trust?]
Generated description
"Who Do You Trust?" is a studio album by American rock band Papa Roach that showcases their blend of hard rock, alternative, and electronic influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Who Do You Trust? Target entity description: "Who Do You Trust?" is a studio album by American rock band Papa Roach that showcases their blend of hard rock, alternative, and electronic influences.
-
A.
Tokens of Trust
Tokens of Trust is a theological book by Rowan Williams that offers an accessible exploration of the core beliefs and affirmations of the Christian faith.
-
B.
Trust Me
Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
-
C.
Trust Me
"Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
-
D.
Trust
Trust is the debut studio album by the American indie rock band Low, noted for its slow tempos, sparse arrangements, and minimalist, melancholic sound.
-
E.
Trust
"Trust" is a popular drill track by Brooklyn rapper Fivio Foreign that helped raise his profile in the New York drill scene.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffe44508190875d734eb18dfb87 |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7ace6c881908e1fbde95a2a3c04 |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5b95083088190b0c993fa2fbc954c |
completed | March 14, 2026, 7:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b9b8afcc8190822cfd560d064590 |
completed | March 14, 2026, 7:40 p.m. |
Created at: March 12, 2026, 11:07 p.m.