Triple
T18482877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24 Hrs. to Live |
E451605
|
entity |
| Predicate | featuresPosseCutFormat |
P131828
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [24 Hrs. to Live, featuresPosseCutFormat, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPosseCutFormat Context triple: [24 Hrs. to Live, featuresPosseCutFormat, yes]
-
A.
featuresMeme
Indicates that something includes, presents, or prominently displays a particular meme.
-
B.
featuresText
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
-
C.
featuresCameoBy
Indicates that a work includes a brief, often special-appearance role performed by the specified person or entity.
-
D.
spanFeature
Indicates a relationship where a feature or characteristic extends across or covers a specified span or interval.
-
E.
featuresFormat
Indicates that something (such as a product, service, or medium) is presented, delivered, or made available in a particular format or configuration.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d49a1881908cc2ad6132953c96 |
completed | April 19, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:35 a.m.