Triple
T16685388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho Yeo-jeong |
E405448
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Woman of 9.9 Billion |
E1227432
|
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: Woman of 9.9 Billion | Statement: [Cho Yeo-jeong, appearedIn, Woman of 9.9 Billion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woman of 9.9 Billion Context triple: [Cho Yeo-jeong, appearedIn, Woman of 9.9 Billion]
-
A.
Woman of 9.9 Billion
chosen
Woman of 9.9 Billion is a South Korean television drama series that follows a woman who suddenly comes into possession of a massive sum of money and becomes entangled in dangerous schemes and moral dilemmas.
-
B.
A Billion
"A Billion" is a song featured on the soundtrack of the musical film "The King & I."
-
C.
Half of the World
Half of the World is a famous nickname for the Iranian city of Isfahan, highlighting its historical grandeur, architectural splendor, and cultural significance.
-
D.
Billion
Billion is the given name of Billion Leonard Roberts, likely a distinctive personal name used by this individual.
-
E.
Untold Millions
"Untold Millions" is a novel by American author Laura Z. Hobson, best known for exploring social issues and human relationships.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea550c0819085bd36c44237a61a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091966fbc81908cd1db230ddbb82b |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.