Triple
T9953716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moe’s Tavern |
E195392
|
entity |
| Predicate | hasPrimaryBartenderTrait |
P91339
|
FINISHED |
| Object | gruff demeanor of Moe Szyslak |
—
|
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: gruff demeanor of Moe Szyslak | Statement: [Moe’s Tavern, hasPrimaryBartenderTrait, gruff demeanor of Moe Szyslak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryBartenderTrait Context triple: [Moe’s Tavern, hasPrimaryBartenderTrait, gruff demeanor of Moe Szyslak]
-
A.
bartender
Indicates that one entity serves or tends bar for another, typically preparing and providing drinks in a bar setting.
-
B.
notableBrewmaster
Indicates that an entity is recognized for being an outstanding or distinguished brewmaster, typically noted for significant skill, influence, or achievement in brewing.
-
C.
hasFlagshipBeerCharacteristics
Indicates that one beer possesses the defining qualities or signature traits typically associated with a brewery’s primary or flagship beer.
-
D.
hasBarService
Indicates that one entity provides or features bar service for another entity or at a given location.
-
E.
servesAlcohol
Indicates that an establishment or provider offers and supplies alcoholic beverages to customers or participants.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb694b95481909d049302818e7137 |
completed | April 2, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:46 p.m.