Triple
T30649626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Broadway revival |
E780217
|
entity |
| Predicate | AsakaActor |
P169977
|
FINISHED |
| Object | Alex Newell |
—
|
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: Alex Newell | Statement: [2017 Broadway revival, AsakaActor, Alex Newell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AsakaActor Context triple: [2017 Broadway revival, AsakaActor, Alex Newell]
-
A.
SakaeIs
Indicates that one entity is identified as or classified as "Sakae" in relation to another entity or context.
-
B.
voiceActorJapanese
Indicates that one entity serves as the Japanese-language voice actor for the other entity.
-
C.
madeActressA
Indicates that one entity caused or was responsible for another entity becoming an actress.
-
D.
eraCharacter
Indicates that a character is associated with, or belongs to, a particular historical or fictional era.
-
E.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
- F. None of above. chosen
Provenance (4 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a9639048190b515dfe149c59aba |
completed | May 2, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 29, 2026, 8:30 p.m.