Triple
T20844483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colleen Moore |
E513183
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object | Metro 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: Metro Pictures | Statement: [Colleen Moore, workedFor, Metro Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metro Pictures Context triple: [Colleen Moore, workedFor, Metro Pictures]
-
A.
Metro Pictures
chosen
Metro Pictures was an early 20th-century American film production and distribution company that later merged into Metro-Goldwyn-Mayer (MGM), helping form one of Hollywood’s major studios.
-
B.
Dimension Pictures
Dimension Pictures was an American independent film production and distribution company known for releasing low-budget exploitation and genre films in the 1970s.
-
C.
Apollo Pictures
Apollo Pictures is a film production company best known for producing the 1987 teen romantic comedy "Can't Buy Me Love."
-
D.
Mainstreet Pictures
Mainstreet Pictures is a British television production company best known for creating acclaimed drama series such as "Unforgotten."
-
E.
Roxbury Pictures
Roxbury Pictures is a film production company known for producing the movie "Enemy."
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34deef88190992b959b83bc59b1 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.