Triple
T32762230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Better Ask Somebody |
E837786
|
entity |
| Predicate | hasPerformerCity |
P35944
|
FINISHED |
| Object | 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: Los Angeles | Statement: [You Better Ask Somebody, hasPerformerCity, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformerCity Context triple: [You Better Ask Somebody, hasPerformerCity, Los Angeles]
-
A.
performedInCity
chosen
Indicates that an action, event, or performance took place within the boundaries of a specified city.
-
B.
hasPerformerResidence
Indicates that a performer is associated with a particular place as their residence.
-
C.
hasPerformerContinent
Indicates that the performer involved in an event or work is associated with a specific continent.
-
D.
alsoKnownForCity
Indicates that an entity is additionally recognized or notable for its association with a particular city.
-
E.
firstProfessionalPerformanceCity
Indicates the city where an entity carried out its first professional performance.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: May 1, 2026, 1:13 a.m.