Triple
T11292555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Chu |
E267363
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Julie Chu |
E267363
|
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: Julie Chu | Statement: [Julie Chu, name, Julie Chu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Chu Context triple: [Julie Chu, name, Julie Chu]
-
A.
Julie Chu
chosen
Julie Chu is an American ice hockey player and four-time Olympian renowned as one of the most accomplished figures in U.S. women's hockey history.
-
B.
Connie Chung
Connie Chung is an American broadcast journalist and television news anchor known for her work on major U.S. networks and high-profile interviews.
-
C.
Christine Lee
Christine Lee is an actress best known for her role in the Netflix zombie apocalypse series "Black Summer."
-
D.
Edith Chao
Edith Chao was the wife of Chinese warlord and political figure Zhang Xueliang, accompanying him through his long years of house arrest and exile.
-
E.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e989fdac81909a4a75f1f68b55c6 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a246a3c81909f4f1d32a1b1efeb |
completed | April 19, 2026, 5 p.m. |
Created at: April 8, 2026, 9:32 p.m.