Triple
T22354330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yang Kuei-mei |
E552611
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The River |
—
|
NE NERFINISHED |
How this triple was built (3 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: The River | Statement: [Yang Kuei-mei, notableWork, The River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The River Context triple: [Yang Kuei-mei, notableWork, The River]
-
A.
The River
The River is a 1951 Technicolor drama film directed by Jean Renoir, celebrated for its lyrical portrayal of life along the Ganges in India and its influence on world cinema.
-
B.
The River
The River is a 1946 semi-autobiographical novel by Rumer Godden set in India, exploring adolescence, cultural encounters, and the transition from childhood to adulthood along the banks of the Ganges.
-
C.
The River
"The River" is a song by David Byrne and Brian Eno from their collaborative album "Everything That Happens Will Happen Today," blending reflective lyrics with atmospheric, experimental pop sounds.
-
D.
The River
The River is a 1984 American drama film starring Sissy Spacek and Mel Gibson that portrays a struggling farm family’s fight to save their land and livelihood.
-
E.
The River
The River is a 1938 American documentary film, written and directed by Pare Lorentz, that examines the environmental and economic impact of the Mississippi River and New Deal conservation efforts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The River Target entity description: The River is a 1997 Taiwanese drama film directed by Tsai Ming-liang, known for its minimalist style and exploration of urban alienation and family dysfunction.
-
A.
The River
The River is a 1951 Technicolor drama film directed by Jean Renoir, celebrated for its lyrical portrayal of life along the Ganges in India and its influence on world cinema.
-
B.
The River
The River is a 1984 American drama film starring Sissy Spacek and Mel Gibson that portrays a struggling farm family’s fight to save their land and livelihood.
-
C.
The River
The River is a 1938 American documentary film, written and directed by Pare Lorentz, that examines the environmental and economic impact of the Mississippi River and New Deal conservation efforts.
-
D.
The River
The River is a 1997 British drama film directed by Jean-Claude Brisseau in which Abigail Hopkins appears in a supporting role.
-
E.
The River
"The River" is a supernatural horror television series known for its found-footage style and mysterious Amazonian expedition storyline.
- F. None of above. chosen
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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157ceb2308190941f6507e605a612 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.