Triple
T11170164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Elliot Kupferberg |
E264252
|
entity |
| Predicate | discussesWithMelfi |
P12142
|
FINISHED |
| Object | confidentiality issues |
—
|
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: confidentiality issues | Statement: [Dr. Elliot Kupferberg, discussesWithMelfi, confidentiality issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discussesWithMelfi Context triple: [Dr. Elliot Kupferberg, discussesWithMelfi, confidentiality issues]
-
A.
discussionsTo
Indicates a relationship in which one entity leads to, results in, or gives rise to discussions involving another entity.
-
B.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
C.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
D.
canDiscuss
Indicates that one entity is able or permitted to engage in a discussion or conversation with another entity.
-
E.
dialogueWith
chosen
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.