Triple
T2273672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ain't Them Bodies Saints |
E50718
|
entity |
| Predicate | hasRottenTomatoesRating |
P37622
|
FINISHED |
| Object | approximately 79 percent |
—
|
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: approximately 79 percent | Statement: [Ain't Them Bodies Saints, hasRottenTomatoesRating, approximately 79 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRottenTomatoesRating Context triple: [Ain't Them Bodies Saints, hasRottenTomatoesRating, approximately 79 percent]
-
A.
hasIMDbId
Indicates that an entity is associated with a specific identifier used by the Internet Movie Database (IMDb) to uniquely reference it.
-
B.
hasFilmRatingAustralia
Indicates that an entity (typically a film or audiovisual work) has a specific official classification or rating assigned by the Australian film rating system.
-
C.
USRating
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
D.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
-
E.
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.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc39c6ff0819081a07696f1c29990 |
completed | March 7, 2026, 6:20 a.m. |
| PD | Predicate disambiguation | batch_69abbdb7719081909143efa8f48df4e4 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abc39b2f548190a38f604e0d36db3a |
completed | March 7, 2026, 6:20 a.m. |
Created at: March 4, 2026, 7:48 p.m.