Triple
T23436199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Women (2022 TV series) |
E563466
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Film Monster |
—
|
NE NERFINISHED |
How this triple was built (3 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: Film Monster | Statement: [Little Women (2022 TV series), productionCompany, Film Monster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Film Monster Context triple: [Little Women (2022 TV series), productionCompany, Film Monster]
-
A.
Movie Macabre
Movie Macabre is a late-night horror movie television series best known for introducing the campy, goth-humor horror hostess character Elvira, Mistress of the Dark.
-
B.
"Monsters" film series
The "Monsters" film series is a British science-fiction franchise created by Gareth Edwards, known for its grounded, low-budget approach to depicting an alien invasion and its focus on human drama within quarantined zones.
-
C.
The Horror
"The Horror" is an instrumental hip-hop track by producer RJD2, known for its cinematic sampling, eerie atmosphere, and intricate beat construction.
-
D.
Monster
Monster is a town in the Dutch province of South Holland, known for its coastal location near the North Sea and its greenhouse horticulture.
-
E.
Monster
Monster is a popular energy drink brand known for its high-caffeine beverages and aggressive, extreme-sports-oriented marketing.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Film Monster Target entity description: Film Monster is a South Korean television production company known for creating scripted drama series, including the 2022 adaptation of "Little Women."
-
A.
Movie Macabre
Movie Macabre is a late-night horror movie television series best known for introducing the campy, goth-humor horror hostess character Elvira, Mistress of the Dark.
-
B.
"Monsters" film series
The "Monsters" film series is a British science-fiction franchise created by Gareth Edwards, known for its grounded, low-budget approach to depicting an alien invasion and its focus on human drama within quarantined zones.
-
C.
The Horror
"The Horror" is an instrumental hip-hop track by producer RJD2, known for its cinematic sampling, eerie atmosphere, and intricate beat construction.
-
D.
Monster
Monster is a 2003 biographical crime drama film in which Charlize Theron delivers an Oscar-winning performance as serial killer Aileen Wuornos.
-
E.
Monster
Monster is a town in the Dutch province of South Holland, known for its coastal location near the North Sea and its greenhouse horticulture.
- F. None of above. chosen
Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dbdf248190a09e971f2718d01f |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.