Triple
T6455433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weezy F. Baby |
E141982
|
entity |
| Predicate | hasGivenNameInitial |
P39224
|
FINISHED |
| Object | F |
—
|
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: F | Statement: [Weezy F. Baby, hasGivenNameInitial, F]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenNameInitial Context triple: [Weezy F. Baby, hasGivenNameInitial, F]
-
A.
givenNameInitials
chosen
Indicates that one entity’s value represents the initials of the given (first and possibly middle) name of another entity.
-
B.
hasInitialLetters
Indicates that one entity’s initial letters or acronym are derived from or correspond to the other entity.
-
C.
hasGivenNameBasis
Indicates that one entity’s given name is derived from, based on, or formed using another entity (such as a name, word, or person) as its basis.
-
D.
hasGivenNameUsage
Indicates that an entity is associated with a particular way or context in which its given name is used.
-
E.
givenName
Indicates the personal first name assigned to an individual.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d4d588819090e8a56c46c0bfe9 |
completed | March 22, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:48 p.m.