Triple
T27131371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Meal |
E681570
|
entity |
| Predicate | toyTheme |
P160801
|
FINISHED |
| Object | popular movies |
—
|
LITERAL 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: popular movies | Statement: [Happy Meal, toyTheme, popular movies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toyTheme Context triple: [Happy Meal, toyTheme, popular movies]
-
A.
toyLine
Indicates that one entity is part of, or associated with, a particular toy product line or series.
-
B.
toyType
Indicates the specific category or kind of toy that an item belongs to.
-
C.
figurineTheme
chosen
Indicates that a figurine is characterized by or represents a particular theme.
-
D.
comicTheme
Indicates that something (such as a work, scene, or element) centers around or is characterized by a humorous or comic theme.
-
E.
vehicleTheme
Indicates that an entity serves as the vehicle or means through which another entity, event, or action is carried out or expressed.
- F. None of above.
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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f624772f14819092ad0064e574523d |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:04 a.m.