Triple
T34641553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Preston |
E889571
|
entity |
| Predicate | formerHabit |
P201710
|
FINISHED |
| Object | regular Prozium injection |
—
|
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: regular Prozium injection | Statement: [John Preston, formerHabit, regular Prozium injection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerHabit Context triple: [John Preston, formerHabit, regular Prozium injection]
-
A.
habitNumber
Indicates a numerical designation or identifier assigned to a particular habit within a set or sequence of habits.
-
B.
lifeHabit
Indicates the typical way an organism lives or behaves in its environment, such as its mode of life, activity pattern, or ecological lifestyle.
-
C.
replacedHabitWith
Indicates that one habit has been discontinued and substituted by another habit.
-
D.
hasHabit
Indicates that an entity regularly performs, practices, or exhibits a particular behavior or routine.
-
E.
formerHabitat
Indicates that a location once served as a habitat for an entity but no longer does.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0017dd31d08190aa5e9f72df83733a |
completed | May 10, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_6a0015a1deb88190b9cdaa60455b0a33 |
completed | May 10, 2026, 5:20 a.m. |
| PDg | Predicate description generation | batch_6a0017dc2cd48190a89c3e9c71708519 |
completed | May 10, 2026, 5:30 a.m. |
Created at: May 1, 2026, 2:04 a.m.