Triple
T2462095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Out |
E54553
|
entity |
| Predicate | hasMetascore |
P40660
|
FINISHED |
| Object | 84 |
—
|
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: 84 | Statement: [Get Out, hasMetascore, 84]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetascore Context triple: [Get Out, hasMetascore, 84]
-
A.
hasRottenTomatoesRating
Indicates that an entity has an associated rating value assigned by Rotten Tomatoes.
-
B.
rottenTomatoesStatus
Indicates the critical or audience evaluation status of a work as represented on Rotten Tomatoes (e.g., fresh, rotten, or certified).
-
C.
mediaSignal
Indicates that one entity serves as a medium or channel through which a signal, message, or information is transmitted from a source to a receiver.
-
D.
hasIMDbId
Indicates that an entity is associated with a specific identifier used by the Internet Movie Database (IMDb) to uniquely reference it.
-
E.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd49b5d2481908817aeb171e2bd61 |
completed | March 7, 2026, 7:32 a.m. |
Created at: March 6, 2026, 9:44 p.m.