Triple
T30267012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chocolate Soldier |
E769676
|
entity |
| Predicate | ShawOpinion |
P2235
|
FINISHED |
| Object | disliked adaptation |
—
|
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: disliked adaptation | Statement: [The Chocolate Soldier, ShawOpinion, disliked adaptation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ShawOpinion Context triple: [The Chocolate Soldier, ShawOpinion, disliked adaptation]
-
A.
givesOpinionOn
Indicates that one entity expresses a view, judgment, or evaluation about another entity or subject.
-
B.
opinionBy
chosen
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
-
C.
discussesViewsOf
Indicates that one entity talks about, analyzes, or comments on the opinions, perspectives, or beliefs held by another entity.
-
D.
notableOpinion
Indicates that one entity holds a significant or widely recognized opinion or viewpoint about another entity.
-
E.
hasDifferentOpinionsOn
Indicates that two or more entities hold differing views or judgments regarding a particular topic, issue, or subject.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f680ae6b748190889c57e99fc02a1a |
completed | May 2, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:43 p.m.