Triple
T20387490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Make Me Go |
E497995
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | De Line Pictures |
—
|
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: De Line Pictures | Statement: [Don't Make Me Go, productionCompany, De Line Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Line Pictures Context triple: [Don't Make Me Go, productionCompany, De Line Pictures]
-
A.
De Line Pictures
chosen
De Line Pictures is a film production company known for producing major Hollywood movies, including the 2003 remake of "The Italian Job."
-
B.
Indelible Pictures
Indelible Pictures is a film production company known for producing the skateboarding drama "Lords of Dogtown."
-
C.
Redline Entertainment
Redline Entertainment is a music record label known for releasing work by rock supergroup Chickenfoot.
-
D.
Bidangil Pictures
Bidangil Pictures is a South Korean film production company known for producing the sci-fi space adventure movie "Space Sweepers."
-
E.
BorderLine Films
BorderLine Films is an independent film production company known for producing dark, character-driven dramas and psychological thrillers.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.