Triple
T6488592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Deever |
E146576
|
entity |
| Predicate | knowsSecret |
P71015
|
FINISHED |
| Object | Larry Keller’s suicide |
—
|
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: Larry Keller’s suicide | Statement: [Ann Deever, knowsSecret, Larry Keller’s suicide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowsSecret Context triple: [Ann Deever, knowsSecret, Larry Keller’s suicide]
-
A.
keepsSecretAbout
Indicates that one entity intentionally withholds or conceals information regarding another specified entity or topic from others.
-
B.
secretes
Indicates that one entity produces and releases a substance from within itself into its surrounding environment or another entity.
-
C.
revealedSecretOf
Indicates that one entity has disclosed or exposed confidential or previously unknown information belonging to another entity.
-
D.
knowsSecretIdentityOf
Indicates that one entity is aware of the hidden or private true identity of another entity.
-
E.
hasTypeOfSecrecy
Indicates that something is associated with a particular kind or level of secrecy.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a97fff88190b6f993c14df62649 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c067f1ef148190bc0355abe83f7e16 |
completed | March 22, 2026, 10:06 p.m. |
Created at: March 22, 2026, 4:52 p.m.