Triple
T9722622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Sibshaw |
E235514
|
entity |
| Predicate | definingBehavior |
P90665
|
FINISHED |
| Object | attempting to hide affairs from his wife |
—
|
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: attempting to hide affairs from his wife | Statement: [Howard Sibshaw, definingBehavior, attempting to hide affairs from his wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definingBehavior Context triple: [Howard Sibshaw, definingBehavior, attempting to hide affairs from his wife]
-
A.
behaviorCode
Indicates the specific rule, standard, or classification code that governs or characterizes an entity’s behavior in a given context.
-
B.
shapesBehaviorOf
Indicates that one entity influences, determines, or constrains the way another entity behaves or acts.
-
C.
defaultBehavior
Indicates the standard or fallback way an entity acts or responds when no specific or overriding instructions or conditions are provided.
-
D.
mayDefine
Indicates that one entity has the authority or capability to specify, establish, or determine the form, content, or rules of another entity.
-
E.
defined
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e75abd48190a6e6679ec51496e8 |
completed | April 1, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd07c5c978819084abc7267a5ced80 |
completed | April 1, 2026, 11:55 a.m. |
Created at: March 30, 2026, 8:20 p.m.