Triple
T33339664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Till the World Ends (The Femme Fatale Remix) |
E853633
|
entity |
| Predicate | featuresPopSinger |
P8086
|
FINISHED |
| Object | Britney Spears |
E37599
|
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: Britney Spears | Statement: [Till the World Ends (The Femme Fatale Remix), featuresPopSinger, Britney Spears]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPopSinger Context triple: [Till the World Ends (The Femme Fatale Remix), featuresPopSinger, Britney Spears]
-
A.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
B.
featuresVocalist
chosen
Indicates that one entity (such as a song, track, or performance) includes another entity serving as a vocalist or featured singer.
-
C.
featuresFictionalPopStar
Indicates that something includes or prominently presents a fictional pop music star as part of its content or subject matter.
-
D.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
E.
featuresPerformerType
Indicates that something includes or highlights a performer of a specified type (e.g., musician, actor, or other performance role).
- F. None of above.
Provenance (4 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01a0b63d148190b10206509c0a0a5b |
completed | May 11, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35813fe870819098715bcffa23e5a9 |
completed | June 19, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_6a01a0245d4c8190a3c3fbbe83f0389d |
completed | May 11, 2026, 9:23 a.m. |
Created at: May 1, 2026, 1:34 a.m.