Triple
T19545972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eve Miller |
E489049
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Big Frame |
—
|
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: The Big Frame | Statement: [Eve Miller, notableWork, The Big Frame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Frame Context triple: [Eve Miller, notableWork, The Big Frame]
-
A.
The Big Frame
chosen
The Big Frame is a film featuring actor Walter Sande in a significant role.
-
B.
The Big Thing
The Big Thing is a public sculpture in Chicago, Illinois, known for its bold, contemporary design and prominent placement in the city’s urban landscape.
-
C.
The Bigger Picture
"The Bigger Picture" is a politically charged protest song by Lil Baby that addresses systemic racism, police brutality, and the Black Lives Matter movement.
-
D.
The Big Guy
The Big Guy is a character who serves as the inspiration for the protagonist in the film "The Mighty McGurk."
-
E.
The Big Job
The Big Job is a 1965 British comedy film about a gang of inept criminals who return years later to retrieve loot they buried before being sent to prison.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.