Triple
T37851601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry McKenna |
E944068
|
entity |
| Predicate | isBottledInBond |
P189274
|
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, isBottledInBond, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBottledInBond Context triple: [Henry McKenna, isBottledInBond, true]
-
A.
isBottledInBondVariantAvailable
Indicates that a bottled-in-bond version or variant of the product is available.
-
B.
bottlingProof
Indicates the specific alcohol proof at which a beverage is bottled.
-
C.
bottledAs
Indicates that a substance or product has been placed into a bottle in a particular form, configuration, or under a specific label or brand.
-
D.
bottledBy
Indicates that one entity is responsible for placing another entity into bottles or containers for packaging or distribution.
-
E.
distilledIn
Indicates that a substance or product has been produced or purified through a distillation process carried out at a specified location or facility.
- 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.