Triple
T26729668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress for The Last Picture Show |
E673931
|
entity |
| Predicate | cityOfCeremony |
P90517
|
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: [Academy Award for Best Actress for The Last Picture Show, cityOfCeremony, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfCeremony Context triple: [Academy Award for Best Actress for The Last Picture Show, cityOfCeremony, Los Angeles]
-
A.
cityOfVenue
Indicates the city in which a given venue is located.
-
B.
ceremonyLocation
Indicates the place where a ceremony is held or takes place.
-
C.
ceremonyLocationType
Indicates the type or category of location where a ceremony takes place.
-
D.
hostCityOfEvent
chosen
Indicates that a city serves as the location where a particular event is held or takes place.
-
E.
locationCountryOfCeremony
Indicates the country in which a particular ceremony takes place or is held.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 3:44 a.m.