Triple
T16579999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coupling |
E402804
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Hartswood Films |
E218640
|
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: Hartswood Films | Statement: [Coupling, productionCompany, Hartswood Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartswood Films Context triple: [Coupling, productionCompany, Hartswood Films]
-
A.
Hartswood Films
chosen
Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
-
B.
Kestrel Films
Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
-
C.
Hartbreak Films
Hartbreak Films is a television and film production company best known for producing the popular 1990s sitcom "Sabrina the Teenage Witch."
-
D.
Tartan Films
Tartan Films was a UK-based independent film distribution company known for releasing cult, arthouse, and international cinema, particularly Asian extreme films.
-
E.
White Horse Pictures
White Horse Pictures is a film and television production company known for producing high-profile documentaries and narrative features, particularly in the music and entertainment space.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35960834c819080eed0c9f32b881d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eee7e4881908a529717bc449078 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.