Triple
T37851611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry McKenna |
E944068
|
entity |
| Predicate | isSingleBarrelInSomeExpressions |
P189276
|
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: [Henry McKenna, isSingleBarrelInSomeExpressions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSingleBarrelInSomeExpressions Context triple: [Henry McKenna, isSingleBarrelInSomeExpressions, true]
-
A.
isPartOfExpression
Indicates that something functions as a component or constituent element within a larger expression.
-
B.
hasExpressionIn
Indicates that one entity is manifested, represented, or realized within another entity, typically as a specific form, version, or expression.
-
C.
hasExpression
Indicates that an entity displays or possesses a particular facial or emotional expression.
-
D.
hasABVCoreExpression
Indicates that something possesses a core or primary expression characterized by a specific alcohol by volume (ABV) value.
-
E.
hasLowExpressionIn
Indicates that a given entity (such as a gene or protein) is present at a relatively low level or activity within a specified context, such as a tissue, cell type, or condition.
- 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.