Triple
T14183976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Retro (historical queer films) |
E351527
|
entity |
| Predicate | programElementOf |
P113128
|
FINISHED |
| Object | LGBTQ+ film festivals |
—
|
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: LGBTQ+ film festivals | Statement: [Teddy Retro (historical queer films), programElementOf, LGBTQ+ film festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programElementOf Context triple: [Teddy Retro (historical queer films), programElementOf, LGBTQ+ film festivals]
-
A.
programLevel
Indicates the hierarchical or categorical level at which a program is defined or operates (e.g., undergraduate, graduate, or other tiers).
-
B.
typicalProgramElement
Indicates that one program element is a representative or characteristic example of another program element or category of elements.
-
C.
componentProgram
Indicates that one entity is a component or module that forms part of a larger program or software system represented by the other entity.
-
D.
programDocument
Indicates that a document is associated with, defines, or describes a particular program (such as a software application, project, or initiative).
-
E.
programSequence
Indicates that one program or step occurs in a specific order directly before or after another within a defined sequence.
- F. None of above. chosen
Provenance (4 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cc0a848190b660095972b1223b |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:03 a.m.