Triple
T2930790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Edward |
E78954
|
entity |
| Predicate | learns |
P32131
|
FINISHED |
| Object | empathy for common people |
—
|
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: empathy for common people | Statement: [Prince Edward, learns, empathy for common people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learns Context triple: [Prince Edward, learns, empathy for common people]
-
A.
learn
chosen
Indicates that an entity acquires knowledge, skills, or understanding from another entity, source, or experience.
-
B.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
C.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
D.
knows
Indicates that one entity has knowledge or awareness of another entity or piece of information.
-
E.
trainingLeadsTo
Indicates that a process of training results in or brings about a particular outcome, state, or effect.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad980191388190ac2455a7d9867be3 |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.