Triple
T26989485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | With Love |
E679826
|
entity |
| Predicate | featuresRepresentation |
P151214
|
FINISHED |
| Object | LGBTQ+ characters |
—
|
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+ characters | Statement: [With Love, featuresRepresentation, LGBTQ+ characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresRepresentation Context triple: [With Love, featuresRepresentation, LGBTQ+ characters]
-
A.
featuresRepresentationOf
chosen
Indicates that one entity visually or symbolically depicts, portrays, or includes a representation of another entity.
-
B.
featuresTransformationOf
Indicates that something includes or presents a transformation or change applied to another entity.
-
C.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
-
D.
sharesFeatureExtractor
Indicates that two or more models or components use the same feature extraction mechanism or module.
-
E.
featuresSampling
Indicates that an entity includes or employs a particular method or configuration for sampling.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: April 27, 2026, 6:50 a.m.