Triple
T33464724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chung Trio |
E857014
|
entity |
| Predicate | associatedOccupationOfMember |
P35550
|
FINISHED |
| Object | Myung-whun Chung – conductor |
E243940
|
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: Myung-whun Chung – conductor | Statement: [Chung Trio, associatedOccupationOfMember, Myung-whun Chung – conductor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedOccupationOfMember Context triple: [Chung Trio, associatedOccupationOfMember, Myung-whun Chung – conductor]
-
A.
involvedOccupationOf
Indicates that an entity participates in or is associated with a particular occupation or professional role.
-
B.
occupationalAssociation
Indicates a relationship where one entity is connected to another through a job, profession, or work-related role.
-
C.
occupationType
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
-
D.
recognizedOccupationOf
Indicates that one entity is acknowledged or officially accepted as the occupation or professional role held by another entity.
-
E.
memberProfession
chosen
Indicates that a member or individual holds or practices a particular profession or occupation.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35816d81148190bc7a689b12bafe4f |
completed | June 19, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:37 a.m.