Triple
T1204947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scream |
E25866
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Get Up
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
|
E137582
|
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: Get Up | Statement: [Scream, hasPart, Get Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Up Context triple: [Scream, hasPart, Get Up]
-
A.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
B.
Get Out of Your Own Way
"Get Out of Your Own Way" is a song by the Irish rock band U2 from their 2017 album *Songs of Experience*, noted for its anthemic sound and politically charged lyrics.
-
C.
Get Out
Get Out is a critically acclaimed 2017 horror-thriller film written and directed by Jordan Peele that blends social commentary on race with psychological suspense.
-
D.
Moonlight
Moonlight is a critically acclaimed 2016 coming-of-age drama film that explores themes of identity, sexuality, and race through the life of a young Black man growing up in Miami.
-
E.
Can't Stop the Feeling!
"Can't Stop the Feeling!" is a 2016 upbeat pop song by Justin Timberlake, known for its feel-good dance vibe and association with the animated film Trolls.
- 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: Get Up Triple: [Scream, hasPart, Get Up]
Generated description
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Get Up Target entity description: "Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
-
A.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
B.
Get Out of Your Own Way
"Get Out of Your Own Way" is a song by the Irish rock band U2 from their 2017 album *Songs of Experience*, noted for its anthemic sound and politically charged lyrics.
-
C.
Get Out
Get Out is a critically acclaimed 2017 horror-thriller film written and directed by Jordan Peele that blends social commentary on race with psychological suspense.
-
D.
Moonlight
Moonlight is a critically acclaimed 2016 coming-of-age drama film that explores themes of identity, sexuality, and race through the life of a young Black man growing up in Miami.
-
E.
Can't Stop the Feeling!
"Can't Stop the Feeling!" is a 2016 upbeat pop song by Justin Timberlake, known for its feel-good dance vibe and association with the animated film Trolls.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc0f8d08190b340012a9eb26275 |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f3caed481908e9e4b6b9daa544d |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fa9c970819081c78963e136535e |
completed | March 7, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac7ff8a6008190a07ce0631ca06109 |
completed | March 7, 2026, 7:43 p.m. |
Created at: March 1, 2026, 7:46 p.m.