Triple
T21843114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jia-Chien |
E539302
|
entity |
| Predicate | relationshipToFood |
P145531
|
FINISHED |
| Object | ambivalent |
—
|
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: ambivalent | Statement: [Jia-Chien, relationshipToFood, ambivalent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToFood Context triple: [Jia-Chien, relationshipToFood, ambivalent]
-
A.
roleInFood
Indicates the functional role or purpose that an entity has within a food item, product, or context (e.g., ingredient, flavoring, preservative).
-
B.
usesFood
Indicates that one entity employs or consumes a food item as a resource, ingredient, or means to achieve some purpose.
-
C.
foodInteraction
Indicates an interaction or relationship involving food between entities, such as consumption, sharing, preparation, or exchange.
-
D.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
-
E.
foodRelatedMotif
Indicates a recurring theme, symbol, or pattern in which food plays a central role in the relationship or action between entities.
- F. None of above. chosen
Provenance (4 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 6:55 p.m.