Triple
T32056781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Seward |
E818638
|
entity |
| Predicate | roleInFoodInc |
P201525
|
FINISHED |
| Object | editor |
—
|
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: editor | Statement: [Christopher Seward, roleInFoodInc, editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFoodInc Context triple: [Christopher Seward, roleInFoodInc, editor]
-
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.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
C.
roleInVega
Indicates that an entity holds a specific role or function within the Vega context (such as the Vega project, system, or framework).
-
D.
relationshipToFood
Indicates the type of connection or association an entity has with food, such as consumption, production, preference, or other food-related roles.
-
E.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a000014497c819088d5cda3977522dd |
completed | May 10, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69ffff9a52b08190be1024e0fb6fe661 |
completed | May 10, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_6a000013004c8190a01710441f881fdc |
completed | May 10, 2026, 3:48 a.m. |
Created at: May 1, 2026, 12:21 a.m.