Triple
T8135605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Technirama 70 |
E189961
|
entity |
| Predicate | usesFilmGauge |
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: [Super Technirama 70, usesFilmGauge, 70 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFilmGauge Context triple: [Super Technirama 70, usesFilmGauge, 70 mm]
-
A.
filmGauge
chosen
Indicates the specific width or size of the film stock used in a motion picture or photographic recording.
-
B.
hasFilmScore
Indicates that one entity serves as the musical score or soundtrack composed for a particular film.
-
C.
hasRottenTomatoesRating
Indicates that an entity has an associated rating value assigned by Rotten Tomatoes.
-
D.
usesRating
Indicates that one entity applies, relies on, or incorporates a rating assigned to another entity.
-
E.
MetascoreBasedOn
Indicates that a metascore is calculated or derived based on a specified set of reviews, ratings, or sources.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:35 p.m.