Triple
T10226294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Scorpion King |
E243211
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Alphaville Films
Alphaville Films is a film production company known for producing major Hollywood action and adventure movies.
|
E852855
|
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: Alphaville Films | Statement: [The Scorpion King, productionCompany, Alphaville Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alphaville Films Context triple: [The Scorpion King, productionCompany, Alphaville Films]
-
A.
Orsay Films
Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
-
B.
Allegro Films
Allegro Films is a film production company known for producing feature films such as the 1997 movie "Trucks."
-
C.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
D.
Valoria Films
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
-
E.
Rhino Films
Rhino Films is an independent film production company known for backing distinctive and often offbeat projects, including the cult classic adaptation of "Fear and Loathing in Las Vegas."
- 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: Alphaville Films Triple: [The Scorpion King, productionCompany, Alphaville Films]
Generated description
Alphaville Films is a film production company known for producing major Hollywood action and adventure movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alphaville Films Target entity description: Alphaville Films is a film production company known for producing major Hollywood action and adventure movies.
-
A.
Orsay Films
Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
-
B.
Allegro Films
Allegro Films is a film production company known for producing feature films such as the 1997 movie "Trucks."
-
C.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
D.
Valoria Films
Valoria Films is a film distribution company known for handling the release of various international and independent movies.
-
E.
Rhino Films
Rhino Films is an independent film production company known for backing distinctive and often offbeat projects, including the cult classic adaptation of "Fear and Loathing in Las Vegas."
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f71fb4048190a36f1fe499729332 |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:17 a.m.