Triple
T27515366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Hickory |
E694536
|
entity |
| Predicate | provesQuality |
P150173
|
FINISHED |
| Object | courage |
—
|
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: courage | Statement: [Harold Hickory, provesQuality, courage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provesQuality Context triple: [Harold Hickory, provesQuality, courage]
-
A.
supportsQuality
Indicates that one entity contributes to maintaining, enhancing, or ensuring the quality or standard of another entity or process.
-
B.
hasQualityControl
Indicates that an entity is subject to processes or measures designed to monitor, verify, and maintain the quality of its outputs or operations.
-
C.
quality
Indicates that an entity possesses a particular attribute, characteristic, or degree of excellence that defines how good, suitable, or effective it is in a given context.
-
D.
qualityScheme
Indicates that an entity is associated with a particular quality assurance or quality classification scheme that defines how its quality is evaluated or certified.
-
E.
recognisedQuality
chosen
Indicates that one entity acknowledges, identifies, or validates a particular quality or attribute present in another entity.
- F. None of above.
Provenance (3 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62efbe1b48190af1b25c370672eec |
completed | May 2, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:18 p.m.