Triple
T38540386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Green Men |
E924816
|
entity |
| Predicate | themeParkFoodItem |
P50231
|
FINISHED |
| Object | Little Green Men mochi |
—
|
NE NERFINISHED |
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: Little Green Men mochi | Statement: [Little Green Men, themeParkFoodItem, Little Green Men mochi]
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 (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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd2e9f0a8819096d4ef1dfefc8db0 |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.