Triple
T15603771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Scheinert |
E375099
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Stephanie Hsu |
E407107
|
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: Stephanie Hsu | Statement: [Daniel Scheinert, notableCollaboration, Stephanie Hsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephanie Hsu Context triple: [Daniel Scheinert, notableCollaboration, Stephanie Hsu]
-
A.
Stephanie Hsu
chosen
Stephanie Hsu is an American actress best known for her acclaimed, genre-bending performance as Joy/Jobu Tupaki in the film "Everything Everywhere All at Once."
-
B.
Lisa Lu
Lisa Lu is a Chinese-American actress known for her distinguished film and television career spanning both Hollywood and Chinese cinema, including a prominent role in "Crazy Rich Asians."
-
C.
Katie Leung
Katie Leung is a Scottish actress best known for playing Cho Chang in the Harry Potter film series.
-
D.
Fann Wong
Fann Wong is a Singaporean actress and singer best known internationally for her role alongside Jackie Chan and Owen Wilson in the action-comedy film "Shanghai Knights."
-
E.
Laura Harrier
Laura Harrier is an American actress and model best known for her roles in films like "Spider-Man: Homecoming" and "BlacKkKlansman."
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e6399d88190b2c3e781667666d4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f37383c81909d0efce84508a034 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:12 a.m.