Triple
T30634996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bo Hess |
E779814
|
entity |
| Predicate | characteristicHabit |
P41014
|
FINISHED |
| Object | leaving glasses of water around the house |
—
|
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: leaving glasses of water around the house | Statement: [Bo Hess, characteristicHabit, leaving glasses of water around the house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicHabit Context triple: [Bo Hess, characteristicHabit, leaving glasses of water around the house]
-
A.
lifeHabit
Indicates the typical way an organism lives or behaves in its environment, such as its mode of life, activity pattern, or ecological lifestyle.
-
B.
habitNumber
Indicates a numerical designation or identifier assigned to a particular habit within a set or sequence of habits.
-
C.
habitIncludes
Indicates that a particular habit encompasses, involves, or is composed of a specified activity, behavior, or element.
-
D.
associatedCharacterTrait
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
E.
hasHabit
chosen
Indicates that an entity regularly performs, practices, or exhibits a particular behavior or routine.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: April 29, 2026, 8:28 p.m.