Triple
T2667761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd-AO |
E55677
|
entity |
| Predicate | printFilmGauge |
P21733
|
FINISHED |
| Object | 70 mm |
—
|
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: 70 mm | Statement: [Todd-AO, printFilmGauge, 70 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: printFilmGauge Context triple: [Todd-AO, printFilmGauge, 70 mm]
-
A.
filmGauge
chosen
Indicates the specific width or size of the film stock used in a motion picture or photographic recording.
-
B.
hasRottenTomatoesRating
Indicates that an entity has an associated rating value assigned by Rotten Tomatoes.
-
C.
PEGIRating
Indicates the creditworthiness assessment assigned by the PEGI rating system, reflecting the level of financial risk associated with an entity.
-
D.
USRating
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
E.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98a4ee88190aa7ef914e316ba31 |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.