Triple
T38540386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Green Men |
E924816
|
entity |
| Predicate | themeParkFoodItem |
P50231
|
FINISHED |
| Object |
Little Green Men mochi
Little Green Men mochi is a popular alien-shaped mochi dessert inspired by the Toy Story franchise, typically filled with sweet custards and sold at Disney theme parks in Japan.
|
E2274406
|
NE FINISHED |
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: Little Green Men mochi | Statement: [Little Green Men, themeParkFoodItem, Little Green Men mochi]
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: Little Green Men mochi Triple: [Little Green Men, themeParkFoodItem, Little Green Men mochi]
Generated description
Little Green Men mochi is a popular alien-shaped mochi dessert inspired by the Toy Story franchise, typically filled with sweet custards and sold at Disney theme parks in Japan.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeParkFoodItem Context triple: [Little Green Men, themeParkFoodItem, Little Green Men mochi]
-
A.
foodItem
chosen
Indicates that one entity is a food item that can be eaten or used as food in relation to another entity.
-
B.
foodService
Indicates that one entity provides, manages, or is responsible for supplying food or meal-related services to another entity.
-
C.
storesFood
Indicates that one entity keeps or holds food items for future use or consumption.
-
D.
foodOfferedTo
Indicates that some food is presented or made available by one entity for another entity to receive or consume.
-
E.
alsoEats
Indicates that an entity consumes something in addition to another item or items it already eats.
- F. None of above.
Provenance (6 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd2e9f0a8819096d4ef1dfefc8db0 |
completed | May 7, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41e030e33481908e48fba32b0fe492 |
completed | June 29, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_6a41e17af1f881908855598d75bc3bfa |
completed | June 29, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41e205f6e08190be4ce8b46c8aec9c |
completed | June 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.