Triple
T11806670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June Forsyte |
E280762
|
entity |
| Predicate | hasSympathyFor |
P70674
|
FINISHED |
| Object | artists |
—
|
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: artists | Statement: [June Forsyte, hasSympathyFor, artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSympathyFor Context triple: [June Forsyte, hasSympathyFor, artists]
-
A.
isSympatheticTo
chosen
Indicates that one entity feels or expresses compassion, understanding, or emotional support toward another entity.
-
B.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
C.
isNeutralAbout
Indicates that one entity has no strong positive or negative opinion, preference, or stance toward another entity or subject.
-
D.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
E.
hasUserAttitude
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.