Triple
T28776936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansfield Park (1999 film) |
E726557
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Halifax Film Company
Halifax Film Company is a Canadian television and film production company known for creating a range of animated and live-action content for both domestic and international audiences.
|
E1834875
|
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: Halifax Film Company | Statement: [Mansfield Park (1999 film), productionCompany, Halifax Film Company]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Halifax Film Company Triple: [Mansfield Park (1999 film), productionCompany, Halifax Film Company]
Generated description
Halifax Film Company is a Canadian television and film production company known for creating a range of animated and live-action content for both domestic and international audiences.
Provenance (5 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65849e4248190aa5e132d23fd5296 |
completed | May 2, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a24a26b0f9881909e0ff313d3620174 |
completed | June 6, 2026, 10:42 p.m. |
| NEDg | Description generation | batch_6a24a638e30881908d94bc85bfb4b3a4 |
completed | June 6, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a24b191b75c8190842a72cd498304fe |
completed | June 6, 2026, 11:47 p.m. |
Created at: April 28, 2026, 6:18 a.m.