Triple
T33113233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Cash |
E847384
|
entity |
| Predicate | teachesChildren |
P175591
|
FINISHED |
| Object | survival skills |
—
|
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: survival skills | Statement: [Ben Cash, teachesChildren, survival skills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesChildren Context triple: [Ben Cash, teachesChildren, survival skills]
-
A.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
B.
containsTeachingOf
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with another entity.
-
C.
childIs
Indicates that one entity is the child (offspring or subordinate descendant) of another entity.
-
D.
targetsTeaching
Indicates that one entity is the intended focus or recipient of another entity’s teaching efforts or instructional activities.
-
E.
childIn
Indicates that one entity is the offspring or direct descendant of another entity.
- 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6ec34a481908851cd68697cb88c |
completed | May 3, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69f6d27224708190b31a541cebe0ff77 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d30b9e048190b0982e30b7fdfa3c |
completed | May 3, 2026, 4:46 a.m. |
Created at: May 1, 2026, 1:27 a.m.