Triple
T3315267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Names |
E69665
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | White Noise |
E68884
|
NE FINISHED |
How this triple was built (2 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: White Noise | Statement: [The Names, followedBy, White Noise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Noise Context triple: [The Names, followedBy, White Noise]
-
A.
White Noise
chosen
White Noise is a postmodern novel by Don DeLillo that satirically explores contemporary American life, consumer culture, and the pervasive fear of death through the story of a college professor and his family.
-
B.
Sleep Through the Static
Sleep Through the Static is a mellow, acoustic-driven studio album by singer-songwriter Jack Johnson that blends laid-back surf rock with introspective, environmentally conscious themes.
-
C.
Never Sleep
Never Sleep is a work by the artist Nav, likely recognized as one of his notable musical releases.
-
D.
Sky
Sky is a charming and supportive young man from the musical and film "Mamma Mia!", known for his relationship with Sophie Sheridan and their plans to build a life together.
-
E.
Sky
Sky is a major British media and telecommunications company best known for its satellite television services and original programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb110b28081909b366623e3b0783d |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3fa347481909432bd0178e7ea57 |
completed | March 12, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:11 p.m.