Triple
T12716855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piper Laurie |
E303866
|
entity |
| Predicate | primetimeEmmyAward |
P32794
|
FINISHED |
| Object | Outstanding Supporting Actress in a Miniseries or a Movie for Promise |
—
|
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: Outstanding Supporting Actress in a Miniseries or a Movie for Promise | Statement: [Piper Laurie, primetimeEmmyAward, Outstanding Supporting Actress in a Miniseries or a Movie for Promise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primetimeEmmyAward Context triple: [Piper Laurie, primetimeEmmyAward, Outstanding Supporting Actress in a Miniseries or a Movie for Promise]
-
A.
emmyAwardFor
chosen
Indicates that an entity has received or is associated with a specific Emmy Award for a particular work or achievement.
-
B.
emmyAwardsCount
Indicates the number of Emmy Awards that an entity has received.
-
C.
numberOfEmmyNominations
Indicates the total count of Emmy Award nominations received by an entity.
-
D.
tonyNominations
Indicates that an entity has received one or more nominations for a Tony Award.
-
E.
emmyAwardYear
Indicates the year in which an entity received or was associated with an Emmy 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620bd6148190a2f50067a4c18c14 |
completed | April 10, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:23 p.m.