Triple
T21836287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Redford |
E539127
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Maid in Manhattan |
—
|
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: Maid in Manhattan | Statement: [Amy Redford, notableWork, Maid in Manhattan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maid in Manhattan Context triple: [Amy Redford, notableWork, Maid in Manhattan]
-
A.
Maid in Manhattan
chosen
Maid in Manhattan is a 2002 romantic comedy film in which Jennifer Lopez stars as a hotel maid who unexpectedly falls in love with a wealthy politician.
-
B.
Manhattan Love Story
Manhattan Love Story is a short-lived American romantic comedy television series that follows the dating lives and inner thoughts of a young couple in New York City.
-
C.
Manhattan Woman
"Manhattan Woman" is the B-side track to the song "In the Navy" by the disco group Village People.
-
D.
First We Take Manhattan
"First We Take Manhattan" is a darkly prophetic, synth-driven song by Leonard Cohen that blends political and apocalyptic imagery with his signature poetic lyricism.
-
E.
Love in the Big City
Love in the Big City is a popular Russian-Ukrainian romantic comedy film known for its lighthearted take on modern relationships and urban life.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a7c368819094e0c4548be30798 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.