Triple
T6897428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarred Sumner |
E159404
|
entity |
| Predicate | goalWithBun |
P74003
|
FINISHED |
| Object | provide all-in-one JavaScript toolkit |
—
|
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: provide all-in-one JavaScript toolkit | Statement: [Jarred Sumner, goalWithBun, provide all-in-one JavaScript toolkit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalWithBun Context triple: [Jarred Sumner, goalWithBun, provide all-in-one JavaScript toolkit]
-
A.
isTypicallyGarnishedWith
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
B.
hasFoodOption
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
-
C.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
D.
bounty
Indicates that a reward or payment is offered for performing a specific action or achieving a particular outcome related to an entity.
-
E.
eggGroup
Indicates the breeding compatibility category or group to which an organism belongs.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95c44a48190876d62749411bbb6 |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:24 p.m.