Triple
T4485597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decision Points |
E107229
|
entity |
| Predicate | notableReview |
P35855
|
FINISHED |
| Object | received mixed critical reviews |
—
|
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: received mixed critical reviews | Statement: [Decision Points, notableReview, received mixed critical reviews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableReview Context triple: [Decision Points, notableReview, received mixed critical reviews]
-
A.
notablePraise
Indicates that one entity has given significant or distinguished praise or commendation to another entity.
-
B.
notableReception
chosen
Indicates that something has received significant attention, recognition, or response from audiences, critics, or the public.
-
C.
notableFavorite
Indicates that one entity is a particularly prominent or distinguished favorite of another entity compared to other possible favorites.
-
D.
hasNotableCritic
Indicates that one entity serves as a significant or widely recognized critic of another entity.
-
E.
notedIn
Indicates that information about one entity is mentioned, recorded, or referenced within another entity, such as a document, record, or source.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 12:59 p.m.