Triple
T6437683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charley |
E129938
|
entity |
| Predicate | recognizesWillysFlaws |
P70611
|
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: [Charley, recognizesWillysFlaws, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizesWillysFlaws Context triple: [Charley, recognizesWillysFlaws, true]
-
A.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
B.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
-
C.
engineReliability
Indicates how consistently and dependably an engine performs its intended function without failure over time.
-
D.
shortcomings
Indicates that an entity has flaws, deficiencies, or limitations in its qualities, performance, or behavior.
-
E.
featuresMechanic
Indicates that something includes or incorporates a particular mechanic as part of its design or functionality.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06964186c8190aeeb0038f4696032 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623e3cd48190929b0e3cba013909 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:45 p.m.