Triple
T22944774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José García |
E569833
|
entity |
| Predicate | followsNamingOrder |
P28784
|
FINISHED |
| Object | given name followed by first surname |
—
|
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: given name followed by first surname | Statement: [José García, followsNamingOrder, given name followed by first surname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsNamingOrder Context triple: [José García, followsNamingOrder, given name followed by first surname]
-
A.
hasNameOrder
chosen
Indicates the specific sequence or arrangement in which the components of a name (e.g., given name, family name, titles) are ordered.
-
B.
followsOrderFrom
Indicates that one entity complies with and acts according to the instructions or commands issued by another entity.
-
C.
followsInName
Indicates that one entity’s name is derived from, modeled after, or intentionally patterned to follow the naming of another entity.
-
D.
followsNameOf
Indicates that one entity’s name comes immediately after another entity’s name in a specified ordering or sequence.
-
E.
confersOrder
Indicates that one entity formally bestows or grants an order, rank, or honorific distinction upon another entity.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819c696c8190977bd2bca01509bc |
completed | April 29, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:45 p.m.