Triple
T28449617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She (song) |
E716535
|
entity |
| Predicate | renewedPopularityCause |
P55574
|
FINISHED |
| Object | inclusion in Notting Hill (film) soundtrack |
—
|
LITERAL 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: inclusion in Notting Hill (film) soundtrack | Statement: [She (song), renewedPopularityCause, inclusion in Notting Hill (film) soundtrack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renewedPopularityCause Context triple: [She (song), renewedPopularityCause, inclusion in Notting Hill (film) soundtrack]
-
A.
popularityResurgence
Indicates a renewed increase in attention, favor, or widespread appeal for something after a period of decline or obscurity.
-
B.
hasPopularityReason
chosen
Indicates that there is a specific reason or factor explaining why something is popular.
-
C.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
-
D.
hasPopularityInfluencedBy
Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
-
E.
subsequentlyPopularIn
Indicates that something became popular in a particular place, group, or context after an initial point in time or after another event.
- F. None of above.
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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64e70e04c819090dd3e66f7f13ca0 |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:51 a.m.