Triple
T22633200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Lift |
E558608
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The Big Lift |
—
|
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 Lift | Statement: [The Big Lift, title, The Big Lift]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Lift Context triple: [The Big Lift, title, The Big Lift]
-
A.
The Big Lift
chosen
The Big Lift is a 1950 American drama film about the Berlin Airlift, notable for its semi-documentary style and on-location shooting in postwar Germany.
-
B.
The Big Jump
The Big Jump is a science fiction novel by Leigh Brackett that follows a perilous interstellar expedition to a distant star system and the mysteries surrounding a previous failed mission.
-
C.
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.
-
D.
Lifted
Lifted is a 2006 Pixar animated short film that humorously depicts a novice alien’s clumsy attempt to abduct a sleeping human under the watchful eye of his stern instructor.
-
E.
Lifted
"Lifted" is a work authored by Mercy, likely a literary or creative piece such as a book, story, or script.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700ab4308190a16b0a1b2a0210fd |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:03 p.m.