Triple
T4889802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chloe Wojin |
E109529
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wojin |
E409386
|
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: Wojin | Statement: [Chloe Wojin, familyName, Wojin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wojin Context triple: [Chloe Wojin, familyName, Wojin]
-
A.
Wojin
chosen
Wojin is a family surname associated with individuals such as Benji Wojin.
-
B.
Wonsal
Wonsal is the original family surname of Harry Warner, one of the founding brothers of Warner Bros. film studio.
-
C.
Jung-Wien
Jung-Wien was a late 19th-century Viennese literary circle of young modernist writers and critics, including figures like Hugo von Hofmannsthal, that helped shape Austrian literature and culture.
-
D.
Wintuan
Wintuan is a small group of Native American languages historically spoken in northern California, often classified within the proposed Penutian language phylum.
-
E.
Huwon
Huwon is the secret rear garden of Changdeokgung Palace in Seoul, renowned for its landscaped ponds, pavilions, and natural woodland used historically as a royal retreat.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e06a81881908734dbdc350a2039 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be681704f08190938aec498d7d4662 |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:28 p.m.