Triple
T19043323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Quatermass Xperiment |
E466063
|
entity |
| Predicate | BBFCClassification |
P3533
|
FINISHED |
| Object | X |
—
|
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: X | Statement: [The Quatermass Xperiment, BBFCClassification, X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BBFCClassification Context triple: [The Quatermass Xperiment, BBFCClassification, X]
-
A.
bbfcRatingUK
chosen
Indicates the film or media content rating assigned by the British Board of Film Classification (BBFC) in the United Kingdom.
-
B.
PEGIRating
Indicates the creditworthiness assessment assigned by the PEGI rating system, reflecting the level of financial risk associated with an entity.
-
C.
USRating
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
D.
hasAgeClassification
Indicates that an entity is associated with a specific age-based category or grouping.
-
E.
ratedFor
Indicates that an entity has been evaluated and assigned a suitability or quality level for a particular purpose, context, or audience.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d801ef188190a231e85e1bbce037 |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.