Triple
T33548754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Joe Gargery |
E859276
|
entity |
| Predicate | attitudeTowardPip |
P166245
|
FINISHED |
| Object | resentful of raising him |
—
|
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: resentful of raising him | Statement: [Mrs. Joe Gargery, attitudeTowardPip, resentful of raising him]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardPip Context triple: [Mrs. Joe Gargery, attitudeTowardPip, resentful of raising him]
-
A.
hasUserAttitude
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
-
B.
attitudeTowardOthers
Indicates the nature or disposition of one entity’s feelings, judgments, or behavioral stance toward other entities.
-
C.
attitudeToRa’y
Indicates the nature or stance of one entity’s attitude, opinion, or feeling toward Ra’y.
-
D.
attitudeTowardDependents
chosen
Indicates the nature or quality of an entity’s feelings, stance, or behavior toward those who depend on it.
-
E.
attitudeTowardSpouse
Indicates a person's emotional or evaluative stance toward their spouse within the marital relationship.
- 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:39 a.m.