Triple
T31655558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Future Ted Mosby |
E807848
|
entity |
| Predicate | primarySettingOfNarration |
P14490
|
FINISHED |
| Object | Mosby family living room |
—
|
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: Mosby family living room | Statement: [Future Ted Mosby, primarySettingOfNarration, Mosby family living room]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySettingOfNarration Context triple: [Future Ted Mosby, primarySettingOfNarration, Mosby family living room]
-
A.
primarySettingOf
chosen
Indicates that a location or context serves as the main or principal setting in which an entity (such as a story, event, or activity) takes place.
-
B.
primarySetting
Indicates that one entity serves as the main or central location, context, or environment in which the other entity’s events or activities primarily take place.
-
C.
mainSettingOfStory
Indicates that a location or environment serves as the primary setting in which the events of a story take place.
-
D.
settingOfNarration
Indicates the place, time, or context in which a narrated event or story takes place.
-
E.
primarySettingFeature
Indicates that a particular feature is the main or defining characteristic of a setting.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 10:55 p.m.