Triple
T13461604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silverwood Films |
E311382
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Hunting Lane Films |
E311381
|
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: Hunting Lane Films | Statement: [Silverwood Films, collaboratedWith, Hunting Lane Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunting Lane Films Context triple: [Silverwood Films, collaboratedWith, Hunting Lane Films]
-
A.
Hunting Lane Films
chosen
Hunting Lane Films is an independent film production company known for producing critically acclaimed, character-driven movies such as "Blue Valentine."
-
B.
Butchers Run Films
Butchers Run Films is a film and television production company best known for producing the acclaimed Western miniseries "Broken Trail."
-
C.
Highwayman Films
Highwayman Films is a film production company best known for producing the acclaimed drama "Nomadland."
-
D.
Hartswood Films
Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
-
E.
Two Ton Films
Two Ton Films is a film production company best known for producing the ensemble romantic comedy "The Big Wedding."
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a2c75c819093765eb9d0d2377e |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.