Triple
T2645195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muff Potter |
E62966
|
entity |
| Predicate | hasHabit |
P41014
|
FINISHED |
| Object | drinking alcohol |
—
|
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: drinking alcohol | Statement: [Muff Potter, hasHabit, drinking alcohol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHabit Context triple: [Muff Potter, hasHabit, drinking alcohol]
-
A.
hasHad
Indicates that an entity previously experienced, possessed, or was involved in something at some point in the past.
-
B.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
C.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
D.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
E.
modernHabit
Indicates a habit or practice that is characteristic of contemporary or present-day lifestyles or behavior.
- F. None of above. chosen
Provenance (4 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd917192081908e7a2cf780a17b83 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd879bb808190bd2c34de1664c816 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:53 p.m.