Triple
T24834126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Traeger |
E621420
|
entity |
| Predicate | healthHabit |
P157391
|
FINISHED |
| Object | strict diet |
—
|
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: strict diet | Statement: [Chris Traeger, healthHabit, strict diet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthHabit Context triple: [Chris Traeger, healthHabit, strict diet]
-
A.
healthHabit
chosen
Indicates a relationship where an entity regularly engages in a behavior or practice that affects its health or well-being.
-
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.
habitNumber
Indicates a numerical designation or identifier assigned to a particular habit within a set or sequence of habits.
-
D.
modernHabit
Indicates a habit or practice that is characteristic of contemporary or present-day lifestyles or behavior.
-
E.
hasHealthGoal
Indicates that an entity has a specific health-related objective or target it is aiming to achieve.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:17 a.m.