Triple
T22033285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Gao |
E544137
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mr. Gao |
—
|
NE NERFINISHED |
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: Mr. Gao | Statement: [Mrs. Gao, spouse, Mr. Gao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Gao Context triple: [Mrs. Gao, spouse, Mr. Gao]
-
A.
Mr. Gao
chosen
Mr. Gao is the central protagonist of Ang Lee’s film "The Wedding Banquet," a Taiwanese immigrant in New York who stages a sham marriage to satisfy his traditional parents while secretly living with his male partner.
-
B.
Mrs. Gao
Mrs. Gao is a traditional, strong-willed Taiwanese mother whose expectations and cultural values drive much of the emotional conflict in Ang Lee’s film "The Wedding Banquet."
-
C.
Madame Gao
Madame Gao is a powerful and enigmatic crime boss in the Marvel Netflix series, known for her deep connections to the Hand and her influence over New York’s criminal underworld.
-
D.
Señor Chang
Señor Chang is the unhinged, often antagonistic Spanish teacher-turned-student from the TV series "Community," known for his erratic behavior and over-the-top antics.
-
E.
Gao Huang
Gao Huang is a computer scientist and researcher in deep learning, best known for co-developing the DenseNet convolutional neural network architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ef97348190b8dcdcad11694ebe |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.