Triple
T22039562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattel |
E544302
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Monster High |
—
|
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: Monster High | Statement: [Mattel, owns, Monster High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monster High Context triple: [Mattel, owns, Monster High]
-
A.
Monster High: The Movie
Monster High: The Movie is a live-action musical fantasy film based on the Monster High doll franchise, following a teenage girl who discovers she is a monster and attends a secret high school for supernatural beings.
-
B.
Monster Mansion
Monster Mansion is the notorious high-security Wakefield Prison in West Yorkshire, England, known for housing some of the UK’s most dangerous and infamous criminals.
-
C.
Spooky Buddies
Spooky Buddies is a family-friendly Halloween-themed comedy film in the Air Buddies franchise featuring talking golden retriever puppies on a supernatural adventure.
-
D.
Monster Mash
Monster Mash is a 1995 American horror-comedy film co-written by Joel Cohen, loosely based on the classic novelty song of the same name.
-
E.
Monster Mash
Monster Mash is the nickname of former NBA All-Star forward Jamal Mashburn, known for his prolific scoring and powerful playing style in the 1990s and early 2000s.
- 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: Monster High Target entity description: Monster High is a fashion doll and media franchise featuring the teenage children of famous monsters, known for its gothic aesthetic and themes of embracing uniqueness.
-
A.
Monster High: The Movie
Monster High: The Movie is a live-action musical fantasy film based on the Monster High doll franchise, following a teenage girl who discovers she is a monster and attends a secret high school for supernatural beings.
-
B.
Monster Mansion
Monster Mansion is the notorious high-security Wakefield Prison in West Yorkshire, England, known for housing some of the UK’s most dangerous and infamous criminals.
-
C.
Spooky Buddies
Spooky Buddies is a family-friendly Halloween-themed comedy film in the Air Buddies franchise featuring talking golden retriever puppies on a supernatural adventure.
-
D.
Monster Mash
Monster Mash is the nickname of former NBA All-Star forward Jamal Mashburn, known for his prolific scoring and powerful playing style in the 1990s and early 2000s.
-
E.
Monster Mash
Monster Mash is a 1995 American horror-comedy film co-written by Joel Cohen, loosely based on the classic novelty song of the same name.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f532b08190be80c5af039b4c29 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.