Triple
T21210832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather Langenkamp |
E522712
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
AFX Studio
AFX Studio is a special effects and makeup company known for its work in film and television creature and character design.
|
E1472284
|
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: AFX Studio | Statement: [Heather Langenkamp, employer, AFX Studio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFX Studio Context triple: [Heather Langenkamp, employer, AFX Studio]
-
A.
A-studio
A-studio is a Finnish current affairs television program known for its in-depth interviews and analysis of topical social and political issues.
-
B.
Akson Studio
Akson Studio is a Polish film and television production company known for producing notable Polish cinema and TV series.
-
C.
Blur Studio
Blur Studio is a renowned American animation and visual effects company known for its high-end cinematic trailers, game cinematics, and film/TV VFX work.
-
D.
Studio A
Studio A is a recording room within the renowned NRG Recording Studios complex, used for professional music production and audio recording.
-
E.
Studio A
Studio A is the famed main recording room at Sound City Studios, renowned for its distinctive acoustics that helped shape numerous classic rock albums.
- 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: AFX Studio Triple: [Heather Langenkamp, employer, AFX Studio]
Generated description
AFX Studio is a special effects and makeup company known for its work in film and television creature and character design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AFX Studio Target entity description: AFX Studio is a special effects and makeup company known for its work in film and television creature and character design.
-
A.
A-studio
A-studio is a Finnish current affairs television program known for its in-depth interviews and analysis of topical social and political issues.
-
B.
Akson Studio
Akson Studio is a Polish film and television production company known for producing notable Polish cinema and TV series.
-
C.
Blur Studio
Blur Studio is a renowned American animation and visual effects company known for its high-end cinematic trailers, game cinematics, and film/TV VFX work.
-
D.
Studio A
Studio A is the famed main recording room at Sound City Studios, renowned for its distinctive acoustics that helped shape numerous classic rock albums.
-
E.
Studio A
Studio A is a recording studio room within the historic Bearsville Studios complex, used for professional music production and audio recording.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7346eb20c8190aeb3c0cc0a24aaf9 |
completed | April 21, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097ed4af68819090df625a31aed573 |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a0980329bb4819088da49aec70f27a0 |
completed | May 17, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0981b76b108190a0c9ae60c81bd4fc |
completed | May 17, 2026, 8:52 a.m. |
Created at: April 16, 2026, 3:37 p.m.