Triple
T31839958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Wilson (Dennis the Menace) |
E812776
|
entity |
| Predicate | attitudeTowardDennisMitchell |
P27747
|
FINISHED |
| Object | fond |
—
|
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: fond | Statement: [Martha Wilson (Dennis the Menace), attitudeTowardDennisMitchell, fond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardDennisMitchell Context triple: [Martha Wilson (Dennis the Menace), attitudeTowardDennisMitchell, fond]
-
A.
attitudeTowardHomerSmith
Indicates the nature or quality of an entity’s feelings, opinions, or stance toward Homer Smith.
-
B.
hasUserAttitude
chosen
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
-
C.
attitudeTowardOthers
Indicates the nature or disposition of one entity’s feelings, judgments, or behavioral stance toward other entities.
-
D.
attitudeTowardEnemy
Indicates the stance, feelings, or disposition that one entity holds toward an opposing or hostile entity.
-
E.
attitudeTowardReform
Indicates an entity’s stance, opinion, or disposition regarding a proposed or ongoing reform.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aff9c1008190a02f0a8ff0728d0d |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:49 p.m.