Triple
T8150051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Play-Doh |
E190309
|
entity |
| Predicate | isNonFoodProduct |
P80813
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Play-Doh, isNonFoodProduct, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonFoodProduct Context triple: [Play-Doh, isNonFoodProduct, true]
-
A.
isHouseholdStaple
Indicates that something is commonly and consistently kept on hand in a household as a basic, regularly used item.
-
B.
usedInECommerce
Indicates that something is employed or applied within the context of electronic commerce activities or systems.
-
C.
isNonMelting
Indicates that the subject does not melt or transition to a liquid state under the relevant or specified conditions.
-
D.
hasRetailProduct
Indicates that an entity offers, sells, or makes available a particular product in a retail context.
-
E.
doesNotShipWith
Indicates that one entity is not included or provided together with another entity as part of the same shipment or package.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4481f19c8190aeec9bf029ad321b |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39ba412881908a053e88f29a9588 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:37 p.m.