Triple
T28212356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Movie Award for Best Kiss |
E711206
|
entity |
| Predicate | usesTrophyType |
P60512
|
FINISHED |
| Object | MTV golden popcorn |
—
|
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: MTV golden popcorn | Statement: [MTV Movie Award for Best Kiss, usesTrophyType, MTV golden popcorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTrophyType Context triple: [MTV Movie Award for Best Kiss, usesTrophyType, MTV golden popcorn]
-
A.
trophyUse
chosen
Indicates that an entity uses, employs, or utilizes a trophy in some manner or context.
-
B.
hasTrophyForm
Indicates that one entity exists in, or is characterized by, a special trophy-like form or version of another entity.
-
C.
isNamedTrophy
Indicates that an entity is a trophy that has been given a specific name or title.
-
D.
hasTrophyStatus
Indicates that an entity possesses a particular trophy-related status or classification.
-
E.
decidesTrophy
Indicates that an entity makes a determination about the awarding or outcome of a trophy.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 10:40 p.m.