Triple
T21449123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahney Her |
E529159
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Sue Lor |
—
|
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: Sue Lor | Statement: [Ahney Her, portrayed, Sue Lor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sue Lor Context triple: [Ahney Her, portrayed, Sue Lor]
-
A.
Sue Lor
chosen
Sue Lor is a Hmong American teenager who becomes Walt Kowalski’s young neighbor and friend in the film "Gran Torino."
-
B.
Sue Seeary
Sue Seeary is a television producer best known for serving as an executive producer on the Australian crime drama series NCIS: Sydney.
-
C.
Sue Roderick
Sue Roderick is an actress known for her role in the film "Twin Town."
-
D.
Sue Lloyd
Sue Lloyd was a British actress best known for her roles in 1960s film and television, including the spy thriller "The Ipcress File" and the TV series "The Baron."
-
E.
Sue Gunter
Sue Gunter was a Hall of Fame American women’s basketball coach best known for her long, successful tenure leading major collegiate programs and elevating the profile of the women’s game.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.