Triple
T7900064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Movie |
E183426
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | New York Movie |
E183426
|
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: New York Movie | Statement: [New York Movie, hasTitle, New York Movie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New York Movie Context triple: [New York Movie, hasTitle, New York Movie]
-
A.
New York Movie
chosen
New York Movie is a 1939 oil painting by American realist artist Edward Hopper depicting a solitary usherette in a dimly lit movie theater, exemplifying his themes of urban isolation and introspective quiet.
-
B.
New York (novel continuity)
New York (novel continuity) is the fictional U.S. state depicted in the Jaws novel universe, serving as the broader setting that includes locations like Amity Island.
-
C.
NYC
NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
-
D.
New York City
New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
-
E.
Jones New York
Jones New York is an American women’s apparel brand known for its classic, career-focused and ready-to-wear clothing.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a3dc2208190a6fea93b60b8daca |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb719a08190a0545a361f559bf7 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:02 p.m.