Triple
T10907802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Awaken, My Love!" |
E257615
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object |
Terrified
"Terrified" is a soulful, funk-influenced track by Childish Gambino that blends eerie romantic tension with lush, retro-inspired production.
|
E892581
|
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: Terrified | Statement: ["Awaken, My Love!", single, Terrified]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrified Context triple: ["Awaken, My Love!", single, Terrified]
-
A.
Fearing
Fearing is a given name most notably associated with Rufus Fearing Dawes, an American Civil War officer and politician.
-
B.
Nervous
"Nervous" is a track by the electronic music producer and DJ Legend.
-
C.
Fear
Fear is a nervous, cautious emotion character in Pixar's animated film "Inside Out," responsible for keeping Riley safe by anticipating potential dangers.
-
D.
Fear
"Fear" is a song by American rock band Blue October, known for its introspective lyrics and emotional exploration of anxiety and overcoming inner struggles.
-
E.
Fear
"Fear" is a 1996 psychological thriller film starring Mark Wahlberg and Reese Witherspoon, known for its intense portrayal of an obsessive and violent teenage relationship.
- 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: Terrified Triple: ["Awaken, My Love!", single, Terrified]
Generated description
"Terrified" is a soulful, funk-influenced track by Childish Gambino that blends eerie romantic tension with lush, retro-inspired production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terrified Target entity description: "Terrified" is a soulful, funk-influenced track by Childish Gambino that blends eerie romantic tension with lush, retro-inspired production.
-
A.
Fearing
Fearing is a given name most notably associated with Rufus Fearing Dawes, an American Civil War officer and politician.
-
B.
Nervous
"Nervous" is a track by the electronic music producer and DJ Legend.
-
C.
Fear
"Fear" is a 1996 psychological thriller film starring Mark Wahlberg and Reese Witherspoon, known for its intense portrayal of an obsessive and violent teenage relationship.
-
D.
Fear
Fear is a nervous, cautious emotion character in Pixar's animated film "Inside Out," responsible for keeping Riley safe by anticipating potential dangers.
-
E.
Fear
"Fear" is a 1940 psychological horror novella by L. Ron Hubbard that follows a professor’s descent into paranoia and madness after losing four hours of his memory.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706756d081908ed29c68d81df688 |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1554fc61c8190a0354e2f24cb62e4 |
completed | April 16, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69e1801dc2e8819099bc862705871761 |
completed | April 17, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1831802608190b5c3c5a4e8d8681a |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 8, 2026, 9:22 p.m.