Triple
T21250842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Dorsey |
E523738
|
entity |
| Predicate | receivesRecognitionFor |
P95265
|
FINISHED |
| Object | complex portrayal of gender roles |
—
|
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: complex portrayal of gender roles | Statement: [Michael Dorsey, receivesRecognitionFor, complex portrayal of gender roles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesRecognitionFor Context triple: [Michael Dorsey, receivesRecognitionFor, complex portrayal of gender roles]
-
A.
gainedRecognition
chosen
Indicates that an entity received acknowledgment, acclaim, or validation from others for its qualities, actions, or achievements.
-
B.
grantsRecognitionTo
Indicates that one entity formally acknowledges, honors, or validates another entity’s achievements, status, or contributions.
-
C.
wasRecognizedIn
Indicates that an entity received acknowledgment, credit, or an award within a specified context, event, or time frame.
-
D.
seeksRecognitionOf
Indicates that one entity actively pursues acknowledgment, validation, or formal recognition from another entity.
-
E.
hasNotableRecognitionFor
Indicates that an entity has received notable recognition, such as awards, honors, or distinctions, specifically for another entity or achievement.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359da6e08190a96c471463c2388d |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:56 p.m.