Triple
T29981210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Film Critics Association Award for Best Actress |
E761595
|
entity |
| Predicate | locationOfPresenter |
P15482
|
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: [Los Angeles Film Critics Association Award for Best Actress, locationOfPresenter, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfPresenter Context triple: [Los Angeles Film Critics Association Award for Best Actress, locationOfPresenter, Los Angeles]
-
A.
headquartersOfPresenter
chosen
Indicates that a location serves as the main headquarters of a particular presenter or presenting organization.
-
B.
locationPresented
Indicates that a specific location is presented or shown to an entity (such as a user or system) within a given context.
-
C.
locationInPlay
Indicates that an entity is currently situated or active within the defined play area or game environment.
-
D.
performerLocation
Indicates that an entity is located at, performing at, or associated with a specific place or venue.
-
E.
locationOfAudience
Indicates the place or setting where the audience is situated or gathered.
- 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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a007899cadc8190a04edd503eaf6514 |
completed | May 10, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_6a0078493e088190b0c5047cbe75d304 |
completed | May 10, 2026, 12:21 p.m. |
Created at: April 29, 2026, 6:35 p.m.