Triple
T13599191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Jacson |
E324898
|
entity |
| Predicate | typeOfIdentity |
P110243
|
FINISHED |
| Object | fabricated personal identity |
—
|
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: fabricated personal identity | Statement: [Frank Jacson, typeOfIdentity, fabricated personal identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfIdentity Context triple: [Frank Jacson, typeOfIdentity, fabricated personal identity]
-
A.
identificationType
Indicates the specific kind or category of identification associated with an entity or relationship.
-
B.
ipoType
Indicates the type or category of an entity’s initial public offering (IPO) event.
-
C.
credentialType
Indicates the specific kind or category of credential associated with an entity or relationship.
-
D.
subjectIdentity
Indicates that two or more references correspond to the same underlying entity or individual identity.
-
E.
identifierTypeManaged
Indicates that one entity is responsible for administering or controlling the type or scheme of identifiers used for 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.