Triple
T1813969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travis Scott |
E40393
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Goosebumps
"Goosebumps" is a popular hip-hop song by American rapper Travis Scott, known for its moody production and memorable collaboration with Kendrick Lamar.
|
E204551
|
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: Goosebumps | Statement: [Travis Scott, notableWork, Goosebumps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goosebumps Context triple: [Travis Scott, notableWork, Goosebumps]
-
A.
Boo
Boo is a suburban district and island area in the Stockholm archipelago, located within Nacka Municipality in Sweden.
-
B.
Boo
Boo is a statically typed, Python-inspired programming language for the .NET platform that was once used as a primary scripting option in the Unity game engine.
-
C.
Annabelle
Annabelle is a horror film centered on a malevolent possessed doll, serving as a spin-off and prequel within The Conjuring cinematic universe.
-
D.
Coraline
Coraline is a dark fantasy novella by Neil Gaiman about a young girl who discovers a sinister parallel world behind a secret door in her new home.
-
E.
Carrie
"Carrie" is Stephen King's debut horror novel, centered on a bullied teenage girl with telekinetic powers who exacts a devastating revenge on her tormentors.
- 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: Goosebumps Triple: [Travis Scott, notableWork, Goosebumps]
Generated description
"Goosebumps" is a popular hip-hop song by American rapper Travis Scott, known for its moody production and memorable collaboration with Kendrick Lamar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goosebumps Target entity description: "Goosebumps" is a popular hip-hop song by American rapper Travis Scott, known for its moody production and memorable collaboration with Kendrick Lamar.
-
A.
Boo
Boo is a suburban district and island area in the Stockholm archipelago, located within Nacka Municipality in Sweden.
-
B.
Boo
Boo is a statically typed, Python-inspired programming language for the .NET platform that was once used as a primary scripting option in the Unity game engine.
-
C.
Annabelle
Annabelle is a horror film centered on a malevolent possessed doll, serving as a spin-off and prequel within The Conjuring cinematic universe.
-
D.
Coraline
Coraline is a dark fantasy novella by Neil Gaiman about a young girl who discovers a sinister parallel world behind a secret door in her new home.
-
E.
Carrie
Carrie is the charming and enigmatic American woman who becomes the central love interest in the British romantic comedy film "Four Weddings and a Funeral."
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c905ec8190bea7cd72d218487a |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf5b1dbc8190a57430bf129173e4 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc0a3fdd88190b0ffa98db1b5cf80 |
completed | March 8, 2026, 6:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc1304a808190a999e71dfa39162a |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 4, 2026, 7:32 p.m.