Triple
T31616185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Difference Between You and Me |
E806762
|
entity |
| Predicate | protagonistAppearance |
P21183
|
FINISHED |
| Object | butch-presenting teen girl |
—
|
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: butch-presenting teen girl | Statement: [The Difference Between You and Me, protagonistAppearance, butch-presenting teen girl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistAppearance Context triple: [The Difference Between You and Me, protagonistAppearance, butch-presenting teen girl]
-
A.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
B.
protagonistDescription
chosen
Indicates that a text provides a descriptive summary or characterization of the story’s main protagonist.
-
C.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
-
D.
protagonistBasedOn
Indicates that a fictional work’s main character is modeled on, inspired by, or derived from a particular real or fictional person or entity.
-
E.
protagonistVoicedBy
Indicates that the speaking voice of the main character in a work is provided by a particular performer.
- 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 30, 2026, 10:39 p.m.