Triple
T4979575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Are You My Mother? A Comic Drama |
E111849
|
entity |
| Predicate | hasLGBTContent |
P45364
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Are You My Mother? A Comic Drama, hasLGBTContent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLGBTContent Context triple: [Are You My Mother? A Comic Drama, hasLGBTContent, true]
-
A.
hasLGBTTheme
chosen
Indicates that the subject includes, features, or centrally involves lesbian, gay, bisexual, or transgender themes or issues.
-
B.
containsAdultContent
Indicates that the referenced item includes material intended for adults, such as explicit sexual, violent, or otherwise age-restricted content.
-
C.
hasContentRating
Indicates that something is associated with a specified content rating that reflects its suitability for particular audiences.
-
D.
isOpenlyLGBT
Indicates that an entity publicly identifies as lesbian, gay, bisexual, transgender, or otherwise part of the LGBT community.
-
E.
LGBTWing
Indicates that an entity is a subgroup, faction, or organizational wing specifically focused on LGBT (lesbian, gay, bisexual, and transgender) issues or representation.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.