Triple
T26533114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanford and Son junkyard |
E670872
|
entity |
| Predicate | hasStructureInFiction |
P106216
|
FINISHED |
| Object | office |
—
|
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: office | Statement: [Sanford and Son junkyard, hasStructureInFiction, office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructureInFiction Context triple: [Sanford and Son junkyard, hasStructureInFiction, office]
-
A.
hasFormatInFiction
Indicates that a work of fiction is presented or realized in a particular narrative or media format (e.g., novel, film, comic).
-
B.
hasFeatureInFiction
chosen
Indicates that a fictional work includes or portrays a particular feature, trait, or characteristic.
-
C.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
-
D.
commandStructureInFiction
Indicates a hierarchical command or authority relationship that exists between characters or groups within a fictional setting.
-
E.
hasDramaticStructure
Indicates that something possesses or follows a specific dramatic structure, such as an organized sequence of narrative or theatrical elements (e.g., exposition, climax, resolution).
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 27, 2026, 1:37 a.m.