Triple
T33699738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Table Manners |
E863420
|
entity |
| Predicate | locationInTrilogy |
P119214
|
FINISHED |
| Object | dining room perspective of the weekend |
—
|
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: dining room perspective of the weekend | Statement: [Table Manners, locationInTrilogy, dining room perspective of the weekend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationInTrilogy Context triple: [Table Manners, locationInTrilogy, dining room perspective of the weekend]
-
A.
notableLocationOnHomeworld
Indicates that a specific location is notable or significant on the entity’s homeworld.
-
B.
homeworldLocation
Indicates the relationship between an entity and the specific place or celestial body that serves as its homeworld.
-
C.
basedInFictionalWorkLocation
Indicates that an entity’s location or setting is situated within a fictional place as depicted in a specific creative work.
-
D.
locatedInFictionalEvent
chosen
Indicates that one entity (typically a place, object, or character) exists or occurs within the context or setting of a fictional event.
-
E.
locationDuringInfinityWar
Indicates the location where an entity is situated during the events of Infinity War.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:43 a.m.