Triple
T8784410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Flow |
E209007
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
AC Films
AC Films is a film production company known for working on the documentary "Human Flow," which explores the global refugee crisis.
|
E757384
|
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: AC Films | Statement: [Human Flow, productionCompany, AC Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AC Films Context triple: [Human Flow, productionCompany, AC Films]
-
A.
AL Films
AL Films is a film production company known for producing the movie "Small Island."
-
B.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
-
C.
Bay Films
Bay Films is a film production company founded by director Michael Bay, known for producing high-octane action movies and large-scale Hollywood blockbusters.
-
D.
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."
-
E.
IAC Films
IAC Films is an American film and television production company known for backing a range of acclaimed independent and auteur-driven projects.
- 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: AC Films Triple: [Human Flow, productionCompany, AC Films]
Generated description
AC Films is a film production company known for working on the documentary "Human Flow," which explores the global refugee crisis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AC Films Target entity description: AC Films is a film production company known for working on the documentary "Human Flow," which explores the global refugee crisis.
-
A.
AL Films
AL Films is a film production company known for producing the movie "Small Island."
-
B.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
-
C.
Bay Films
Bay Films is a film production company founded by director Michael Bay, known for producing high-octane action movies and large-scale Hollywood blockbusters.
-
D.
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."
-
E.
IAC Films
IAC Films is an American film and television production company known for backing a range of acclaimed independent and auteur-driven projects.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f7441e8819081ea0ae7bc2afde7 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51f41eb081909124a5e74333a31d |
completed | April 3, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69cf55ec47f88190878724c4245410de |
completed | April 3, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5679f85c8190aebb19ad364fe202 |
completed | April 3, 2026, 5:56 a.m. |
Created at: March 30, 2026, 6:42 p.m.