Triple
T32647318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 73rd Golden Globe Awards |
E834628
|
entity |
| Predicate | mostAwardsTelevision |
P154615
|
FINISHED |
| Object | Mr. Robot |
—
|
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: Mr. Robot | Statement: [73rd Golden Globe Awards, mostAwardsTelevision, Mr. Robot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostAwardsTelevision Context triple: [73rd Golden Globe Awards, mostAwardsTelevision, Mr. Robot]
-
A.
emmyAwardFor
Indicates that an entity has received or is associated with a specific Emmy Award for a particular work or achievement.
-
B.
emmyAwardsCount
Indicates the number of Emmy Awards that an entity has received.
-
C.
mostAwardsWinnerCount
chosen
Indicates the number of awards received by the entity that holds the record for winning the most awards within a given context.
-
D.
numberOfEmmyNominations
Indicates the total count of Emmy Award nominations received by an entity.
-
E.
hasEmmyAward
Indicates that an entity has received or been awarded an Emmy Award.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c775d6188190b236fc4f89a11b61 |
completed | May 3, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:07 a.m.