Triple
T5029314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilted Productions |
E113255
|
entity |
| Predicate | awardRecognitionForWork |
P107
|
FINISHED |
| Object | Orange Is the New Black received critical acclaim |
—
|
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: Orange Is the New Black received critical acclaim | Statement: [Tilted Productions, awardRecognitionForWork, Orange Is the New Black received critical acclaim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardRecognitionForWork Context triple: [Tilted Productions, awardRecognitionForWork, Orange Is the New Black received critical acclaim]
-
A.
awardReceivedByWork
Indicates that a particular award was given in recognition of a specific work (such as a book, film, or artwork).
-
B.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
D.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
E.
awardAspect
Indicates that one entity specifies a particular characteristic, category, or facet of an award associated with 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738f2cc88190a03eebf19e407411 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.