Triple
T38562199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Cohn Productions |
E928106
|
entity |
| Predicate | basedOnProducerReputation |
P200487
|
FINISHED |
| Object | Arthur Cohn |
—
|
NE NERFINISHED |
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: Arthur Cohn | Statement: [Arthur Cohn Productions, basedOnProducerReputation, Arthur Cohn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnProducerReputation Context triple: [Arthur Cohn Productions, basedOnProducerReputation, Arthur Cohn]
-
A.
manufacturerReputation
Indicates the perceived reliability, quality, and trustworthiness associated with a product’s manufacturer.
-
B.
usesBrandReputationOf
Indicates that one entity leverages or capitalizes on the brand reputation of another entity for its own purposes.
-
C.
hasBrandReputation
Indicates that an entity possesses a certain level or type of perceived quality, trustworthiness, or public image associated with its brand.
-
D.
durabilityReputation
Indicates the perceived reliability and longevity of an entity’s products or services based on past performance or user experience.
-
E.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff8cecbf048190860b9f72b8753f5c |
completed | May 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69ff8c4c39dc8190b5bf35adc1bae7c6 |
completed | May 9, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69ff8cec1e4c8190b2d66b3e0f913bfd |
completed | May 9, 2026, 7:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.