Triple
T17328228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Kliot |
E420742
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | HDNet Films |
E1112705
|
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: HDNet Films | Statement: [Jason Kliot, employer, HDNet Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HDNet Films Context triple: [Jason Kliot, employer, HDNet Films]
-
A.
HDNet Films
chosen
HDNet Films is an American film production company known for producing and distributing independent and specialty films, often in collaboration with 2929 Productions.
-
B.
Echo Films
Echo Films is a film and television production company co-founded by Jennifer Aniston, known for producing character-driven projects including the series "The Morning Show."
-
C.
Beyond Films
Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
-
D.
Hartswood Films
Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
-
E.
Fastnet Films
Fastnet Films is an Irish film and television production company known for producing independent features and drama series, including the historical revenge thriller "Black 47."
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d42154819093a240f677a63145 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01954ecadc8190a6484ff0a207fe9b |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:43 a.m.