Triple
T12768249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W.E. |
E305179
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Semtex Films
Semtex Films is a film production company best known for producing the 2011 historical drama film "W.E." directed by Madonna.
|
E1002577
|
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: Semtex Films | Statement: [W.E., productionCompany, Semtex Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semtex Films Context triple: [W.E., productionCompany, Semtex Films]
-
A.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
B.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
-
C.
Skreba Films
Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
-
D.
Aquarius Films
Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
-
E.
Pantelion Films
Pantelion Films is a film production and distribution company known for specializing in Latino-focused and Spanish-language movies, formed as a joint venture between Lionsgate and Televisa.
- 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: Semtex Films Triple: [W.E., productionCompany, Semtex Films]
Generated description
Semtex Films is a film production company best known for producing the 2011 historical drama film "W.E." directed by Madonna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Semtex Films Target entity description: Semtex Films is a film production company best known for producing the 2011 historical drama film "W.E." directed by Madonna.
-
A.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
B.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
-
C.
Skreba Films
Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
-
D.
Aquarius Films
Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
-
E.
Pantelion Films
Pantelion Films is a film production and distribution company known for specializing in Latino-focused and Spanish-language movies, formed as a joint venture between Lionsgate and Televisa.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f750a08190abf6122baa579bc4 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6890782c48190ae93866cf39b1c25 |
completed | May 2, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68976b60881908abf5b69b8c37e6e |
completed | May 2, 2026, 11:32 p.m. |
Created at: April 9, 2026, 5:28 p.m.