Triple
T4123351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tortilla Flat |
E92664
|
entity |
| Predicate | characterGroup |
P47706
|
FINISHED |
| Object | paisanos |
—
|
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: paisanos | Statement: [Tortilla Flat, characterGroup, paisanos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterGroup Context triple: [Tortilla Flat, characterGroup, paisanos]
-
A.
associatedWithCharacterGroup
chosen
Indicates that an entity has a connection or affiliation with a particular group of characters.
-
B.
letterGroups
Indicates that entities are organized or associated into specific groups based on letters or letter-based criteria.
-
C.
characterFunction
Indicates the role, purpose, or narrative function that a character serves within a story or context.
-
D.
character2
Indicates that a second character entity is involved in the relationship or context defined by the predicate.
-
E.
regionCharacter
Indicates a characteristic, feature, or quality that typifies or defines a particular region.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.