Triple
T22031722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringo Lam |
E544102
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Wild City |
—
|
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: Wild City | Statement: [Ringo Lam, notableWork, Wild City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wild City Context triple: [Ringo Lam, notableWork, Wild City]
-
A.
Wild City
chosen
Wild City is a film featuring actress Sarita Choudhury in a significant role.
-
B.
The Streets of New York
"The Streets of New York" is a song by Irish musician Brian Warfield, best known as a ballad vividly depicting life and experiences in New York City.
-
C.
Life in the City
"Life in the City" is a song featured on the album *Lucky Thirteen*, likely reflecting urban themes and experiences.
-
D.
Here Is New York
"Here Is New York" is a classic 1949 essay by E. B. White that offers a reflective, intimate portrait of New York City and its character in the mid-20th century.
-
E.
City That Never Sleeps
City That Never Sleeps is a 1953 American film noir crime drama directed by John H. Auer, known for its gritty depiction of a night in Chicago’s underworld.
- 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_69f127edd5b48190a9aeb2840105c181 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.