Triple
T20688447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Loring |
E508484
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Way Down in Chinatown |
—
|
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: Way Down in Chinatown | Statement: [Lisa Loring, appearedIn, Way Down in Chinatown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Way Down in Chinatown Context triple: [Lisa Loring, appearedIn, Way Down in Chinatown]
-
A.
Shoot Out in Chinatown
Shoot Out in Chinatown is a segment or episode within the American crime-comedy anthology film "Cahoots."
-
B.
Chinatown
Chinatown is a culturally rich urban enclave characterized by a high concentration of Chinese residents, businesses, and institutions, often serving as a historic and contemporary hub of Chinese American life.
-
C.
Chinatown
Chinatown is a historic San Francisco neighborhood renowned as one of the oldest and largest Chinese communities outside Asia, famous for its vibrant culture, shops, and cuisine.
-
D.
Chinatown
Chinatown in Yokohama is Japan’s largest and most famous Chinese district, known for its vibrant streets, numerous Chinese restaurants, and colorful temples.
-
E.
Chinatown
Chinatown is a historic urban district in Montreal known for its Chinese cultural heritage, distinctive East Asian architecture, and concentration of Asian restaurants, shops, and community institutions.
- 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: Way Down in Chinatown Target entity description: Way Down in Chinatown is an independent horror film known for featuring Lisa Loring, famed for her role as Wednesday Addams in the 1960s TV series The Addams Family.
-
A.
Shoot Out in Chinatown
Shoot Out in Chinatown is a segment or episode within the American crime-comedy anthology film "Cahoots."
-
B.
Chinatown
Chinatown is a culturally rich urban enclave characterized by a high concentration of Chinese residents, businesses, and institutions, often serving as a historic and contemporary hub of Chinese American life.
-
C.
Chinatown
Chinatown is a historic San Francisco neighborhood renowned as one of the oldest and largest Chinese communities outside Asia, famous for its vibrant culture, shops, and cuisine.
-
D.
Chinatown
Chinatown is a themed area in West Edmonton Mall designed to resemble a traditional Chinese district with Asian-inspired shops, decor, and dining options.
-
E.
Chinatown
Chinatown is a historic urban neighborhood in Honolulu known for its Chinese cultural heritage, markets, eateries, and vibrant arts scene.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
Created at: April 16, 2026, 11:49 a.m.