Triple
T12768299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W.E. (film) |
E305180
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Semtex Films |
E1002577
|
NE FINISHED |
How this triple was built (2 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. (film), productionCompany, Semtex Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semtex Films Context triple: [W.E. (film), productionCompany, Semtex Films]
-
A.
Semtex Films
chosen
Semtex Films is a film production company best known for producing the 2011 historical drama film "W.E." directed by Madonna.
-
B.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
C.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
-
D.
Skreba Films
Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f68eb7e8448190a097d40ed8927285 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:28 p.m.