Triple
T27065326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chloe Bennet |
E685157
|
entity |
| Predicate | musicCareerStartLocation |
P150362
|
FINISHED |
| Object | China |
—
|
NE NERFINISHED |
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: China | Statement: [Chloe Bennet, musicCareerStartLocation, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicCareerStartLocation Context triple: [Chloe Bennet, musicCareerStartLocation, China]
-
A.
countryOfOriginForMusicCareer
chosen
Indicates the country where an artist’s professional music career was primarily started or established.
-
B.
professionStartLocation
Indicates the place where an individual begins or first takes up their profession or career.
-
C.
musicCareer
Indicates that an entity has a professional involvement or trajectory in the field of music, such as performing, composing, or producing as an occupation.
-
D.
startedMusicalCareerIn
Indicates the time or place at which an individual began their professional involvement in music.
-
E.
locationSince
Indicates that an entity has been located at a particular place continuously since a specified point in time.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 8:24 a.m.