Triple
T18330770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melquíades |
E439133
|
entity |
| Predicate | introducesTo |
P1331
|
FINISHED |
| Object | magnets |
—
|
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: magnets | Statement: [Melquíades, introducesTo, magnets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducesTo Context triple: [Melquíades, introducesTo, magnets]
-
A.
introducedTo
chosen
Indicates that one entity caused or facilitated a first meeting or formal presentation between another entity and a third party.
-
B.
oftenIntroducedBy
Indicates that one entity is frequently presented, mentioned, or brought into context by another entity.
-
C.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
D.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
E.
coIntroduced
Indicates that two or more entities jointly introduced or presented something together for the first time.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50eca08388190b4e757a5f63b5d41 |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.