Triple
T22026581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Are You |
E543980
|
entity |
| Predicate | linkedToAward |
P219
|
FINISHED |
| Object | Liza Minnelli Tony Award for Best Actress in a Musical |
—
|
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: Liza Minnelli Tony Award for Best Actress in a Musical | Statement: [You Are You, linkedToAward, Liza Minnelli Tony Award for Best Actress in a Musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToAward Context triple: [You Are You, linkedToAward, Liza Minnelli Tony Award for Best Actress in a Musical]
-
A.
linkedAward
Indicates that one award is associated with, connected to, or references another award in a meaningful way.
-
B.
relatedAward
chosen
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
C.
associatedWithAwardWinningScore
Indicates that an entity is connected to or involved with a score that has received an award.
-
D.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
E.
associatedWithAwardRecipient
Indicates a relationship where an entity is connected to or linked with the recipient of a specific 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ccc2ec8190a94d69530d00c06c |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.