Triple
T33003220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobo |
E844426
|
entity |
| Predicate | usedForPersonType |
P113938
|
FINISHED |
| Object | male individuals named Jacobo |
—
|
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: male individuals named Jacobo | Statement: [Cobo, usedForPersonType, male individuals named Jacobo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForPersonType Context triple: [Cobo, usedForPersonType, male individuals named Jacobo]
-
A.
appliesToPersonType
chosen
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable specifically to a certain type or category of person.
-
B.
usedByPerson
Indicates that something (such as an object, tool, or resource) is utilized or employed by a person.
-
C.
appliesToPerson
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific person.
-
D.
personType
Indicates that an entity is classified as a particular type or category of person.
-
E.
usedByOrganizationType
Indicates that something is utilized or employed by organizations of a specified type.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:23 a.m.