Triple
T9567987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Days in May |
E230836
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Seven Arts Productions |
E357115
|
NE FINISHED |
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: Seven Arts Productions | Statement: [Seven Days in May, productionCompany, Seven Arts Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seven Arts Productions Context triple: [Seven Days in May, productionCompany, Seven Arts Productions]
-
A.
Seven Arts Productions
chosen
Seven Arts Productions was an American film production company active in the mid-20th century, known for backing several notable Hollywood features.
-
B.
Celebrated Productions
Celebrated Productions is a film and media production company known for its work on the movie "Limelight."
-
C.
Siesta Productions
Siesta Productions is a film and television production company known for its work on the fantasy series "Carnival Row."
-
D.
Big Arty Productions
Big Arty Productions is a film production company known for its work on the British drama film "Somers Town."
-
E.
The Festival Companies
The Festival Companies is a real estate development and management firm known for creating and operating high-profile retail and mixed-use destinations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152b5b40c81909a84e34a944abfd0 |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:04 p.m.