Triple
T24597248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Leopard Man |
E608712
|
entity |
| Predicate | ageRatingUS |
P13624
|
FINISHED |
| Object | Passed by Production Code Administration |
—
|
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: Passed by Production Code Administration | Statement: [The Leopard Man, ageRatingUS, Passed by Production Code Administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRatingUS Context triple: [The Leopard Man, ageRatingUS, Passed by Production Code Administration]
-
A.
USRating
chosen
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
B.
ageRatingContext
Indicates the contextual basis or circumstances (such as region, system, or criteria) under which an age rating is assigned or interpreted.
-
C.
ratedFor
Indicates that an entity has been evaluated and assigned a suitability or quality level for a particular purpose, context, or audience.
-
D.
televisionRatingUS
Indicates the official content rating assigned to a television program under the United States TV rating system.
-
E.
TVRatingUS
Indicates the television content rating assigned to a program under the U.S. TV parental guidelines system.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.