Triple
T26533120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanford and Son junkyard |
E670872
|
entity |
| Predicate | fictionalStreetContext |
P168922
|
FINISHED |
| Object | Watts neighborhood of Los Angeles |
—
|
NE NERFINISHED |
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: Watts neighborhood of Los Angeles | Statement: [Sanford and Son junkyard, fictionalStreetContext, Watts neighborhood of Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalStreetContext Context triple: [Sanford and Son junkyard, fictionalStreetContext, Watts neighborhood of Los Angeles]
-
A.
fictionalStreetSetting
Indicates that an entity is set on or associated with a street that exists only within a fictional or imaginary context.
-
B.
fictionalCityContext
Indicates that the relationship or information is situated within, or pertains specifically to, the setting of a fictional city.
-
C.
fictionalCitySetting
Indicates that a narrative, event, or work is set in a city that is imaginary or does not exist in the real world.
-
D.
hasFictionalCityContext
Indicates that something is associated with, set in, or contextualized by a fictional city.
-
E.
fictionalCapital
Indicates that a location serves as the capital city within a fictional or imaginary political or geographic entity.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 27, 2026, 1:37 a.m.