Triple
T16586343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJ Entertainment |
E402966
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | CJ Group |
E930633
|
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: CJ Group | Statement: [CJ Entertainment, foundedBy, CJ Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CJ Group Context triple: [CJ Entertainment, foundedBy, CJ Group]
-
A.
CJ Group
chosen
CJ Group is a major South Korean conglomerate with diversified businesses spanning entertainment, media, food, biotechnology, and retail.
-
B.
SUN Group
SUN Group is a major Indian media and entertainment conglomerate with interests spanning television, radio, film production, and sports franchise ownership.
-
C.
Cantor Seinuk Group
Cantor Seinuk Group was a prominent structural engineering firm known for its work on major high-rise and complex building projects, particularly in New York City.
-
D.
Seven Group Holdings
Seven Group Holdings is an Australian diversified investment and operating company with major interests in media, industrial services, and energy.
-
E.
JR Group
JR Group is a collective of regional passenger railway companies in Japan that emerged from the privatization of the former Japanese National Railways.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599cbc448190bc80eef4ad58eb41 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007597905881909df7dc49961b6a02 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:16 a.m.