Triple
T18177380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TV Parental Guidelines |
E435197
|
entity |
| Predicate | descriptorMeaning |
P45905
|
FINISHED |
| Object | D indicates suggestive dialogue |
—
|
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: D indicates suggestive dialogue | Statement: [TV Parental Guidelines, descriptorMeaning, D indicates suggestive dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: descriptorMeaning Context triple: [TV Parental Guidelines, descriptorMeaning, D indicates suggestive dialogue]
-
A.
objectMeaning
Indicates that one entity represents, expresses, or conveys the meaning or semantic content of another entity.
-
B.
parameterMeaning
Indicates that one entity specifies the semantic meaning, role, or purpose of a parameter associated with another entity.
-
C.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
-
D.
deviceMeaning
Indicates that one entity specifies or conveys the functional meaning, purpose, or interpretation of a device-related entity.
-
E.
stringMeaning
chosen
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5a72008190bd2e56205b995a87 |
completed | April 19, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.