Triple
T9906389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milk |
E185021
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Axon Films
Axon Films is a film production company known for producing the movie "Milk."
|
E833357
|
NE FINISHED |
How this triple was built (4 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: Axon Films | Statement: [Milk, productionCompany, Axon Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Axon Films Context triple: [Milk, productionCompany, Axon Films]
-
A.
Elixir Films
Elixir Films is a film production company known for producing the 2010 drama film "The Way," directed by Emilio Estevez and starring Martin Sheen.
-
B.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
-
C.
Overture Films
Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
-
D.
Katalyst Films
Katalyst Films is a production company co-founded by Ashton Kutcher, best known for creating and producing popular prank and reality television shows and digital media content.
-
E.
Dimension Films
Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Axon Films Triple: [Milk, productionCompany, Axon Films]
Generated description
Axon Films is a film production company known for producing the movie "Milk."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Axon Films Target entity description: Axon Films is a film production company known for producing the movie "Milk."
-
A.
Elixir Films
Elixir Films is a film production company known for producing the 2010 drama film "The Way," directed by Emilio Estevez and starring Martin Sheen.
-
B.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
-
C.
Overture Films
Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
-
D.
Katalyst Films
Katalyst Films is a production company co-founded by Ashton Kutcher, best known for creating and producing popular prank and reality television shows and digital media content.
-
E.
Dimension Films
Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
- F. None of above. chosen
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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2577794d081909e852bda46f62988 |
completed | April 5, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69d25889b0f08190a28c5401417fe3cc |
completed | April 5, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25977ab988190969ed8ff8eb53ddd |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 30, 2026, 8:40 p.m.