Triple
T8654420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fredric March |
E205378
|
entity |
| Predicate | tonyAwardForBestActorInAPlay |
P16597
|
FINISHED |
| Object | Years Ago |
—
|
LITERAL FINISHED |
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: Years Ago | Statement: [Fredric March, tonyAwardForBestActorInAPlay, Years Ago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tonyAwardForBestActorInAPlay Context triple: [Fredric March, tonyAwardForBestActorInAPlay, Years Ago]
-
A.
tonyAwardForBestActorInAPlayWork
Indicates that a work (play) is the performance or role for which an actor received the Tony Award for Best Actor in a Play.
-
B.
tonyAwardsWonFor
chosen
Indicates the specific Tony Award-winning work or role for which an entity received a Tony Award.
-
C.
OlivierAwardYear
Indicates the specific year in which an Olivier Award was given or associated with a particular recipient, work, or event.
-
D.
WestEndAward
Indicates that an entity has received, been nominated for, or is otherwise associated with a West End theatre award.
-
E.
awardedInTheatre
Indicates that an award or honor was given to someone or something specifically for work or achievement in the field of theatre.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48432568819093b9a867b4f62b78 |
completed | March 31, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:29 p.m.