Triple
T14454967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gingerbread Lady |
E358434
|
entity |
| Predicate | protagonistStruggle |
P76396
|
FINISHED |
| Object | to rebuild her life after alcoholism |
—
|
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: to rebuild her life after alcoholism | Statement: [The Gingerbread Lady, protagonistStruggle, to rebuild her life after alcoholism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistStruggle Context triple: [The Gingerbread Lady, protagonistStruggle, to rebuild her life after alcoholism]
-
A.
protagonistAction
Indicates that the referenced entity performs the central or primary action associated with the main character in a narrative or scenario.
-
B.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
C.
storyConflict
chosen
Indicates a relationship where a story contains or centers around a central problem, opposition, or tension that drives its plot.
-
D.
protagonistMust
Indicates that a particular entity is required to serve as the main character or central focus within a narrative or scenario.
-
E.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.