Triple
T21602014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Panamanian Deception |
E533066
|
entity |
| Predicate | usesAuthorBackground |
P72668
|
FINISHED |
| Object | intelligence experience |
—
|
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: intelligence experience | Statement: [The Panamanian Deception, usesAuthorBackground, intelligence experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAuthorBackground Context triple: [The Panamanian Deception, usesAuthorBackground, intelligence experience]
-
A.
hasAuthorBackgroundIn
chosen
Indicates that an author possesses a particular background, such as education, experience, or expertise, in a specified field or domain.
-
B.
hasAuthorialBackground
Indicates that an entity has a creator or author with a specific background, context, or set of characteristics associated with them.
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
hasCoauthorBackground
Indicates that two or more coauthors share a specified background, such as educational, professional, cultural, or experiential context.
-
E.
usedByAuthor
Indicates that something (such as a method, tool, or resource) is employed or utilized by an author.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e247588190a57f27ba04f4f21a |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.