Triple
T9810433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spotlight |
E238253
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Rocklin/Faust
Rocklin/Faust is a film production company best known for producing the Academy Award–winning investigative drama "Spotlight."
|
E822923
|
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: Rocklin/Faust | Statement: [Spotlight, productionCompany, Rocklin/Faust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocklin/Faust Context triple: [Spotlight, productionCompany, Rocklin/Faust]
-
A.
Iron Felix
Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
-
B.
Jesus Lane
Jesus Lane is a historic street in central Cambridge, England, known for its proximity to several colleges and notable university buildings.
-
C.
Rider
Rider is a British publishing imprint known for releasing works on spirituality, personal development, and thought-provoking non-fiction.
-
D.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
E.
Rider
Rider, also known as Iskandar or Alexander the Great, is the charismatic and boisterous Servant of Waver Velvet in Fate/Zero, renowned for his overwhelming Noble Phantasm and kingly charisma.
- 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: Rocklin/Faust Triple: [Spotlight, productionCompany, Rocklin/Faust]
Generated description
Rocklin/Faust is a film production company best known for producing the Academy Award–winning investigative drama "Spotlight."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rocklin/Faust Target entity description: Rocklin/Faust is a film production company best known for producing the Academy Award–winning investigative drama "Spotlight."
-
A.
Iron Felix
Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
-
B.
Jesus Lane
Jesus Lane is a historic street in central Cambridge, England, known for its proximity to several colleges and notable university buildings.
-
C.
Rider
Rider is a British publishing imprint known for releasing works on spirituality, personal development, and thought-provoking non-fiction.
-
D.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
E.
Rider
Rider, also known as Iskandar or Alexander the Great, is the charismatic and boisterous Servant of Waver Velvet in Fate/Zero, renowned for his overwhelming Noble Phantasm and kingly charisma.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb220310c8190a16ca0b746f0ef7a |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc5b4dd8819088c86946b4eb8a39 |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1cd7f41448190b387109235dbc7f5 |
completed | April 5, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1cdefca5c8190a673caca42aaa7d0 |
completed | April 5, 2026, 2:50 a.m. |
Created at: March 30, 2026, 8:30 p.m.