Triple
T13757218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basketball Wives |
E330505
|
entity |
| Predicate | laterSetIn |
P64727
|
FINISHED |
| Object | Los Angeles |
E715
|
NE FINISHED |
How this triple was built (3 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: Los Angeles | Statement: [Basketball Wives, laterSetIn, Los Angeles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Angeles Context triple: [Basketball Wives, laterSetIn, Los Angeles]
-
A.
Los Angeles
chosen
Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
-
B.
Los Ángeles
Los Ángeles is a mid-sized Chilean city known as an important commercial and agricultural center in the south-central part of the country.
-
C.
San Angeles
San Angeles is a fictional futuristic megacity formed from the merger of Los Angeles and San Diego in the science fiction film "Demolition Man."
-
D.
San Fransokyo
San Fransokyo is a fictional futuristic hybrid city combining elements of San Francisco and Tokyo, serving as the primary setting of Disney's animated film "Big Hero 6."
-
E.
Santa Monica
Santa Monica is a coastal city in western Los Angeles County, California, known for its iconic pier, beaches, and vibrant tourism and entertainment scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterSetIn Context triple: [Basketball Wives, laterSetIn, Los Angeles]
-
A.
laterIn
Indicates that one event, state, or time point occurs after another in temporal order.
-
B.
laterWithin
Indicates that one event or time point occurs later than another while still falling within a specified temporal interval or boundary.
-
C.
laterWrittenDownIn
Indicates that information, events, or content were recorded or documented at a later time than when they originally occurred or were created.
-
D.
basedInLater
chosen
Indicates that an entity is located or headquartered in a place during a later time period or phase, relative to some earlier location or state.
-
E.
laterDeployedIn
Indicates that one entity was deployed or put into operation in a particular context, location, or system at a later time than another.
- F. None of above.
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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022286b481908f8a801042743512 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8cebcd481909ba75eef518b34c7 |
completed | May 3, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:09 p.m.