Triple
T33422528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outstanding Supporting Actor in a Drama Series |
E855881
|
entity |
| Predicate | hasAwardShowLocation |
P130408
|
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: [Outstanding Supporting Actor in a Drama Series, hasAwardShowLocation, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardShowLocation Context triple: [Outstanding Supporting Actor in a Drama Series, hasAwardShowLocation, Los Angeles]
-
A.
awardShowLocation
chosen
Indicates the place where an award show is held or takes place.
-
B.
hasAwardShow
Indicates that an entity organizes, hosts, or is associated with a specific award show or ceremony.
-
C.
locationOfAwardedWork
Indicates the place where the work for which an award was given was created, performed, or took place.
-
D.
hasFashionShowLocation
Indicates that a fashion show takes place at, or is held in, a specific location.
-
E.
associatedAwardWinningShow
Indicates that an entity is linked to a show that has received an award.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.